This application contains subject matter that may be related to that disclosed and/or claimed in U.S. Pat. No. 7,925,330, filed on Mar. 27, 2007, United States Patent Application Publication Numbers 2007/0213662, filed on Mar. 27, 2008; 2007/0255135, filed Mar. 27, 2007; 2008/0097197, filed Mar. 22, 2007; 2010/0030073, filed on Jun. 12, 2009; 2010/0113887, filed on Jun. 15, 2009; 2010-0204572, filed on Jan. 15, 2010; and International Patent Application Publication Numbers WO/2006/058280 (International Patent Application No. PCT/US05/042891), filed on Nov. 23, 2005, and WO/2006/055813 (International Patent Application No. PCT/US2005/041913), filed on Nov. 16, 2005, the disclosures of which are incorporated herein by reference and made a part hereof.
The present invention is related to devices, systems and methods for fluid delivery, and, particularly, to devices, systems and methods for delivery of a pharmaceutical fluid to a patient, and, especially for delivery of a contrast medium to a patient during a medical injection procedure for diagnostic and/or therapeutic reasons.
The following information is provided to assist the reader to understand the invention disclosed below and the environment in which it will typically be used. The terms used herein are not intended to be limited to any particular narrow interpretation unless clearly stated otherwise in this document. References set forth herein may facilitate understanding of the present invention or the background of the present invention. The disclosure of all references cited herein is incorporated by reference.
The administration of contrast medium with, for example, a power injector for radiological exams typically starts with the clinician filling an empty, disposable syringe with a certain volume of contrast agent pharmaceutical. In other procedures, a syringe pre-filled with contrast agent may be used. The clinician then determines a volumetric flow-rate and a volume of contrast to be administered to the patient to enable a diagnostic image. An injection of saline solution, having a volume and flow rate determined by the operator, often follows the administration of contrast agent into the veins or arteries. A number of currently available injectors allow for the operator to program a plurality of discrete phases of volumetric flow rates and volumes to deliver. For example, the SPECTRIS SOLARIS® and STELLANT® injectors available from MEDRAD, INC., a business of Bayer HealthCare, provide for entry of up to and including six discrete pairs or phases of volumetric flow rate and volume for delivery to a patient (for example, for contrast and/or saline). Such injectors and injector control protocols for use therewith are disclosed, for example, in U.S. Pat. No. 6,643,537 and Published U.S. Patent Application Publication No. 2004/0064041, assigned to the assignee of the present invention, the disclosures of which are incorporated herein by reference. The values or parameters within the fields for such phases are generally entered manually by the operator for each type of procedure and for each patient undergoing an injection/imaging procedure. Alternatively, earlier manually entered values of volume and flow rate can be stored and later recalled from the computer memory. However, the manners in which such parameters are to be determined and tailored for a specific procedure for a specific patient are not well developed.
In this regard, differences in contrast dosing requirements for different patients during imaging and other procedures have been recognized. For example, U.S. Pat. No. 5,840,026, assigned to the assignee of the present invention, the disclosure of which is incorporated herein by reference, discloses devices and methods to customize the injection to the patient using patient specific data derived before or during an injection. Although differences in dosing requirements for medical imaging procedures based upon patient differences have been recognized, conventional medical imaging procedures continue to use pre-set doses or standard delivery protocols for injecting contrast media during medical imaging procedures. Given the increased scan speed of recently available CT scanners including MDCT (or MSCT) scanners, single phase injections are dominant over biphasic or other multiphasic injections in regions of the world where such fast scanners are used. Although using standard, fixed or predetermined protocols (whether uniphasic, biphasic or multiphasic) for delivery simplifies the procedure, providing the same amount of contrast media to different patients under the same protocol can produce very different results in image contrast and quality. Furthermore, with the introduction of the newest MDCT scanners, an open question in clinical practice and in the CT literature is whether the standard contrast protocols used with single-slice, helical scanners will translate well to procedures using the MDCT machines. See, for example, Cademartiri, F. and Luccichenti, G., et al., “Sixteen-row multi-slice computed tomography: basic concepts, protocols, and enhanced clinical applications.” Semin Ultrasound CT MR 25(1): 2-16 (2004).
A few studies have attempted quantitative analyses of the injection process during CT angiography (CTA) to improve and predict arterial enhancement. For example, Bae and coworkers developed pharmacokinetic (PK) models of the contrast behavior and solved the coupled differential equation system with the aim of finding a driving function that causes the most uniform arterial enhancement. K. T. Bae, J. P. Heiken, and J. A. Brink, “Aortic and hepatic contrast medium enhancement at CT. Part I. Prediction with a computer model,” Radiology, vol. 207, pp. 647-55 (1998); K. T. Bae, “Peak contrast enhancement in CT and MR angiography: when does it occur and why? Pharmacokinetic study in a porcine model,” Radiology, vol. 227, pp. 809-16 (2003); K. T. Bae et al., “Multiphasic Injection. Method for Uniform Prolonged Vascular Enhancement at CT Angiography: Pharmacokinetic Analysis and Experimental Porcine Method,” Radiology, vol. 216, pp. 872-880 (2000); U.S. Pat. Nos. 5,583,902, 5,687,208, 6,055,985, 6,470,889 and 6,635,030, the disclosures of which are incorporated herein by reference. An inverse solution to a set of differential equations of a simplified compartmental model set forth by Bae et al. indicates that an exponentially decreasing flow rate of contrast medium may result in optimal/constant enhancement in a CT imaging procedure. However, the injection profiles computed by inverse solution of the PK model are profiles not readily realizable by most CT power injectors without major modification.
In another approach, Fleischmann and coworkers treated the cardiovascular physiology and contrast kinetics as a “black box” and determined its impulse response by forcing the system with a short bolus of contrast (approximating a unit impulse). In that method, one performs a Fourier transform on the impulse response and manipulates this transfer function estimate to determine an estimate of a more optimal injection trajectory than practiced previously. D. Fleischmann and K. Hittmair, “Mathematical analysis of arterial enhancement and optimization of bolus geometry for CT angiography using the discrete Fourier transform,” J. Comput. Assist Tomogr., vol. 23, pp. 474-84 (1999), the disclosure of which is incorporated herein by reference.
Uniphasic administration of contrast agent (typically, 100 to 150 mL of contrast at one flow rate) results in a non-uniform enhancement curve. See, for example, D. Fleischmann and K. Hittmair, supra; and K. T. Bae, “Peak contrast enhancement in CT and MR angiography: when does it occur and why? Pharmacokinetic study in a porcine model,” Radiology, vol. 227, pp. 809-16 (2003), the disclosures of which are incorporated herein by reference. Fleischmann and Hitmair thus presented a scheme that attempted to adapt the administration of contrast agent into a biphasic injection tailored to the individual patient with the intent of optimizing imaging of the aorta. A fundamental difficulty with controlling the presentation of CT contrast agent is that hyperosmolar drug diffuses quickly from the central blood compartment. Additionally, the contrast is mixed with and diluted by blood that does not contain contrast.
Fleischmann proscribed that a small bolus injection, a test bolus injection, of contrast agent (16 ml of contrast at 4 ml/s) be injected prior to the diagnostic scan. A dynamic enhancement scan was made across a vessel of interest. The resulting processed scan data (test scan) was interpreted as the impulse response of the patient/contrast medium system. Fleischmann derived the Fourier transform of the patient transfer function by dividing the Fourier transform of the test scan by the Fourier transform of the test injection. Assuming the system was a linear time invariant (LTI) system and that the desired output time domain signal was known (a flat diagnostic scan at a predefined enhancement level) Fleischmann derived an input time signal by dividing the frequency domain representations of the desired output by that of the patient transfer function. Because the method of Fleischmann et al. computes input signals that are not realizable in reality as a result of injection system limitations (for example, flow rate limitations), one must truncate and approximate the computed continuous time signal.
In addition, to control a powered injector to provide a desired time enhancement curve, the operation of a powered injector should be carefully controlled to ensure the safety of the patient. For example, it is desirable not to exceed a certain fluid pressure during an injection procedure. In addition to potential hazards to the patient (for example, vessel damage) and potential degradation of the diagnostic and/or therapeutic utility of the injection fluid, excessive pressure can lead to equipment failure. Disposable syringes and other fluid path components (sometimes referred to collectively as a “disposable set”) are typically fabricated from plastics of various burst strengths. If the injector causes pressure in the fluid path to rise above the burst strength of a disposable fluid path element, the fluid path element will fail.
In addition to problems of control with current injector systems, many such systems lack convenience and flexibility in the manner in which the injector systems must be operated. In this regard, the complexity of medical injection procedures and the hectic pace in all facets of the health care industry place a premium on the time and skills of an operator.
Although advances have been made in the control of fluid delivery systems to, for example, provide a desirable time enhancement curve and to provide for patient safety, it remains desirable to develop improved devices, systems, and method for delivery of fluids to a patient.
In one aspect of the invention, provided is a system for patient imaging including an imaging system and a parameter generator to determine parameters of at least a first phase of an injection procedure, wherein the imaging system comprises a scanner comprising at least one x-ray tube and wherein the parameter generator is programmed to determine at least one of the parameters on the basis of a voltage to be applied to the at least one x-ray tube during an imaging procedure. The scanner may be a CT scanner, which may be programmable to operate at different x-ray tube voltages.
In certain embodiments, the parameter generator of the system can be in communicative connection with the imaging system. In certain embodiments, the parameter generator can be integrated into the imaging system.
In some non-limiting embodiments, the system can further include an injector system, and the injector system can include at least one pressurizing mechanism, at least one fluid container operably associated with the at least one pressurizing mechanism, one of the fluid containers adapted to contain a contrast enhancing agent and one of the fluid containers adapted to contain a diluent, and a controller operably associated with the at least one pressurizing mechanism.
In certain embodiments, the parameter generator can be in communicative connection with at least one of the imaging system and the controller of the injector system, and in certain embodiments, the parameter generator can be integrated into the injector system.
In some non-limiting embodiments, the parameter generator can be programmed to determine at least one of a volume of a pharmaceutical fluid to be injected during at least the first phase and a flow rate of the pharmaceutical fluid to be injected during at least the first phase on the basis of the voltage to be applied to the at least one x-ray tube during the imaging procedure. The pharmaceutical fluid may include a contrast enhancing agent.
In certain non-limiting embodiments, the parameter generator can be programmed to determine the volume of the pharmaceutical fluid to be injected during at least the first phase according to the formula: V1=weight*X*Y, wherein V1 is the volume of the pharmaceutical fluid, X is a function of patient weight and x-ray tube voltage, and Y is a function of the concentration of a contrast enhancing agent in the pharmaceutical fluid. The parameter generator may be programmed to determine X for a particular patient weight from a look-up table wherein X is set forth as a function of patient weight and the voltage to be applied to the at least one x-ray tube during the imaging procedure.
In some non-limiting embodiments, the parameter generator can be programmed to determine at least a first flow rate of the pharmaceutical fluid by dividing V1 by an injection duration of the first phase. The parameter generator may be programmed to determine the injection duration on the basis of one or more criteria inputted by an operator, which criteria can include at least an identification of a body region to be imaged during the imaging procedure.
In certain non-limiting embodiments, the parameter generator can be further programmed to determine a volume V2 of pharmaceutical fluid to be delivered in at least a second phase of the injection procedure in which both the pharmaceutical fluid and a diluent are to be delivered.
In some non-limiting embodiments, the parameter generator can be programmed to determine the volume of the pharmaceutical fluid to be injected during at least the first phase by adjusting a volume parameter of a baseline injection protocol. Data representing the baseline injection protocol can exists in memory of the system or accessible to the system. The parameter generator can also be programmed to determine the baseline injection protocol on the basis of one or more criteria inputted by an operator. In certain embodiments, the parameter generator can be programmed to determine the volume of the pharmaceutical fluid to be injected during at least the first phase by applying a tube voltage modification factor to the volume parameter of the baseline injection protocol.
In some non-limiting embodiments, the parameter generator can be programmed to determine the flow rate of the pharmaceutical fluid to be injected during at least the first phase by adjusting a flow rate parameter of a baseline injection protocol. Data representing the baseline injection protocol can exists in memory of the system or accessible to the system. The parameter generator can also be programmed to determine the baseline injection protocol on the basis of one or more criteria inputted by an operator. In certain embodiments, the parameter generator can be programmed to determine the flow rate of the pharmaceutical fluid to be injected during at least the first phase by applying a tube voltage modification factor to the flow rate parameter of the baseline injection protocol.
In another aspect, provided is a parameter generator for use in an imaging system comprising a scanner comprising at least one x-ray tube, wherein the parameter generator is programmed to determine parameters of at least a first phase of an injection procedure including at least one parameter on the basis of a voltage to be applied to the at least one x-ray tube during an imaging procedure.
In another non-limiting embodiment, provided is a method of controlling an injector system for delivering a pharmaceutical fluid to a patient as part of an imaging procedure, the injector system in operative connection with an imaging system comprising a scanner comprising at least one x-ray tube. The steps of the method include: determining, using a parameter generator, injection parameters of at least a first phase of an injection procedure, wherein at least one of the injection parameters is determined on the basis of a voltage to be applied to the at least one x-ray tube during the imaging procedure; and controlling the injector system at least in part on the basis of the determined injection parameters.
In some non-limiting embodiments of the method, the injection parameters that are determined include at least one of a volume of the pharmaceutical fluid to be injected during at least the first phase of the injection procedure and a flow rate of the pharmaceutical fluid to be injected during at least the first phase of the injection procedure. The volume of the pharmaceutical fluid to be injected during at least the first phase can be determined according to the formula: V1=weight*X*Y, wherein V1 is the volume of the pharmaceutical fluid, X is a function of patient weight and x-ray tube voltage, and Y is a function of the concentration of a contrast enhancing agent in the pharmaceutical fluid. In certain embodiments, X is determined for a particular patient weight from a look-up table wherein X is set forth as a function of patient weight and the voltage to be applied to the at least one x-ray tube during the imaging procedure.
In certain non-limiting embodiments of the method, at least a first flow rate of the pharmaceutical fluid is determined by dividing V1 by an injection duration of the first phase. The injection duration of the first phase can be inputted by an operator using a graphical user interface. The injection duration can also be determined by the parameter generator on the basis of one or more criteria inputted by an operator.
In some non-limiting embodiments of the method, the volume of the pharmaceutical fluid to be injected during at least the first phase is determined by adjusting a volume parameter of a baseline injection protocol. Data representing the baseline injection protocol can be recalled from memory associated with or accessible by at least one of the injector system, the imaging system, and the parameter generator. The baseline injection protocol may also be determined on the basis of one or more criteria inputted by an operator. The volume of the pharmaceutical fluid to be injected during at least the first phase of the injection procedure can be determined by applying a tube voltage modification factor to the volume parameter of the baseline injection protocol.
In certain non-limiting embodiments of the method, the flow rate of the pharmaceutical fluid to be injected during at least the first phase is determined by adjusting a flow rate parameter of a baseline injection protocol. Data representing the baseline injection protocol can be recalled from memory associated with or accessible by at least one of the injector system, the imaging system, and the parameter generator. The baseline injection protocol can be determined on the basis of one or more criteria inputted by an operator. The flow rate of the pharmaceutical fluid to be injected during at least the first phase can be determined by applying a tube voltage modification factor to the flow rate parameter of the baseline injection protocol.
In some non-limiting embodiments of the method, the method can further include the step of populating the determined injection parameters on a graphical user interface associated with at least one of the injector system and the imaging system.
In another aspect, provided is a method of generating an injection protocol for use with an injector system in operative connection with an imaging system comprising a scanner comprising at least one x-ray tube, the method including the step of determining, using a parameter generator, injection parameters of at least a first phase of an injection procedure, wherein at least one of the injection parameters is determined on the basis of a voltage to be applied to the at least one x-ray tube during an imaging procedure.
The present invention, along with the attributes and attendant advantages thereof, will best be appreciated and understood in view of the following detailed description taken in conjunction with the accompanying drawings.
As used herein with respect to an injection procedure, the term “protocol” refers to a group of parameters such as flow rate, volume to be injected, injection duration, etc. that define the amount of fluid(s) to be delivered to a patient during an injection procedure. Such parameters can change over the course of the injection procedure. As used herein, the term “phase” refers generally to a group of parameters that define the amount of fluid(s) to be delivered to a patient during a period of time (or phase duration) that can be less than the total duration of the injection procedure. Thus, the parameters of a phase provide a description of the injection over a time instance corresponding to the time duration of the phase. An injection protocol for a particular injection procedure can, for example, be described as uniphasic (a single phase), biphasic (two phases) or multiphasic (two or more phases, but typically more than two phases). Multiphasic injections also include injections in which the parameters can change continuously over at least a portion of the injection procedure.
In several embodiments, an injector system (such as a dual syringe injector system 100 as illustrated in
In the embodiment of
One example of an imaging system 300 is a CT system. A CT system typically includes a scanner which employs x-rays to create an image utilizing the principle of attenuation. Attenuation represents a measure of the gradual loss in intensity of a flux, such as an x-ray, as it passes through a medium, such as the tissue, bone and other materials of the body. CT systems generally include an x-ray source, typically an x-ray tube or tubes, and one or more x-ray sensors located opposite the x-ray source for capturing the attenuated x-rays after they pass through the body, including body structures that may be filled with a contrasting agent.
With respect to x-ray imaging techniques using iodine-based contrast agents, the attenuation and absorption of x-ray photons passing through body structures filled with iodinated contrast material increases as the voltage applied to the x-ray source (e.g., x-ray tubes) decreases. The increase in attenuation is believed to be due to the dominance of photo-electric absorption at the lower x-ray excitation energies, especially as one approaches the K-Shell absorption peak of iodine. The following table (Table 1) reflects an art-recognized relationship between x-ray tube voltage and the attenuation to contrast concentration ratio (aka, k-factor). (See Takanami, et al. 2008).
Because the attenuation to contrast concentration ratio varies based on the voltage being applied to the x-ray tube, all else being equal, two scans carried out using the same contrast concentration at different x-ray tube voltages will produce different images. In particular, in the resulting imagery created by a CT system, an increased attenuation creates a brighter opacification and greater image contrast between the contrast-filled structures and the surrounding tissue. Because the opacification can increase as the tube voltage decreases, the volume of contrast needed to achieve sufficient contrast opacification in a territory of interest can be reduced by using lower tube voltages. Similarly, because the opacification can decrease as the tube voltage increases, a greater volume of contrast may be needed to achieve sufficient contrast opacification and adequate imaging where higher tube voltages are being used during the scanning procedure.
The present disclosure provides methods, systems, and algorithms for generating phase parameters predetermined as being effective for the type of imaging procedure being performed that are based, at least in part, on the tube voltage that will be applied during the imaging procedure. Tailoring the phase parameters to account for tube voltage has been found to not only lead to contrast savings, but also help to avoid less than ideal enhancement outcomes for higher tube voltages where the HU/(mgI.mL−1) ratio is smaller. Such phase parameters can be established in a variety of ways, including through the collection of patient data over time (by, for example, employing artificial intelligence techniques, statistical means, adaptive learning methodologies, etc.), through mathematical modeling, through the modification of baseline or known protocols to account for variations in the tube voltage values, or otherwise.
In certain non-limiting embodiments, injection phase parameters as described above are populated within a phase programming mechanism, or parameter generator, which may be a computer having software installed thereon for implementing the methods described herein, based on one or more parameters of interest including, but not limited to, contrast agent concentration (for example, iodine concentration in the case of a CT procedure), a patient parameter (for example, body weight, height, gender, age, cardiac output, etc.) the type of scan being performed, the type of catheter inserted into the patient for intravascular access, and the voltage being applied when performing the imaging scan (for example, the voltage being applied to one or more x-ray tubes during a CT scan). The parameter generator is typically in communicative connection with at least one of the imaging system 300 and the injector system 100. The parameter generator can also include a processor (for example, a digital microprocessor as known in the art) in operative connection with a memory. In some non-limiting embodiments, the parameter generator can be integrated into the imaging system 300 and/or the injection system 100.
The phase programming mechanism can, for example, allow the operator to control the injection system by entering a “protocol wizard or generation mode,” “helper mode”, or “operator assist mode.” Once the operator chooses to enter the operator assist mode, the operator can be presented with a graphical user interface that provides a mechanism or mode for entering the information used in populating the phase parameters. In the operator assist mode, the protocol parameters are automatically populated, generally in response to information input by the operator through the graphical user interface and received at the parameter generator. The graphical user interface can present the operator with a series of choices, such as questions about the procedure, about the patient, or both, the answers to which can assist the software associated with the phase programming mechanism in determining the appropriate injection protocol and phase parameters.
For instance, one embodiment of a graphical user interface from which the operator is prompted to choose a region of interest for the image, and which follows the work flow described herein, is depicted in
Upon choosing the region to be imaged, the operator may be prompted to select from among different available preset protocols, each of which may have preset parameters associated therewith, such as the contrast concentration, whether a test injection or transit bolus are used, the maximum flow rate, the limitation on pressure, the injection duration, scan duration, etc., as shown in
Once a protocol is selected, the operator can then be prompted to enter values for other variables (for example, patient physiological variables such as the patient's weight, height, gender, etc., or procedure variables such as contrast concentration, tube voltage, scan duration, etc., though it should be understood that the general order in which the operator is prompted for information or in which the operator enters information is not intended to be limiting.
The location of the graphical user interface within the system is not intended to be limiting. In addition to an interface on the injector system, choices can also or alternatively be made on a graphical user interface on the imaging system or scanner and/or from a database on the imaging system or scanner. In the case that the choices are made via an interface or database resident on the scanner, the data can then be transmitted to the injector. Moreover, the interface can exist solely on the scanner/imaging system. In this case, the final protocol can be transmitted to the injection system. Likewise, the interface or database can exist on a machine or system separate from the injector and the scanner. Data, for example, protocols can be transmitted from that system to the injector. A communication interface that may be used herein is disclosed in U.S. Pat. No. 6,970,735, the contents of which is incorporated herein by reference. One or more imaging systems can also be connected by way of a network with a central control location where one or more computer interfaces can exist to display and/or allow for control of the networked imaging systems. For example, multiple imaging systems can be connected to a common computer or set of computers located in a control center, wherein an operator can monitor and adjust the protocols being used on one or more of the imaging systems. A radiologist wishing to specify the particular injection protocol to be used in a particular instance can take advantage of such a network to adjust the protocol from such an interface.
Based upon the selections made, the software implementing the present invention computes an injection protocol, including parameters such as the flow rates and volumes for the phases, including the test injection, if any, for the operator's review. One such example of a graphical user interface displaying an injection protocol for the operator's review is shown in
In certain non-limiting embodiments, computation of the parameters of the injection protocol is done using a variable weight factor (mg Iodine/Body weight kg) which is used to determine the dose, or total volume, of iodine for the patient for a particular tube voltage or range thereof. In general, there is a linear relation between the plasma concentration of iodine and the enhancement (or CT Number) in Hounsfield Units in a blood vessel. Weight is easily obtained before the patient is scanned and serves as a practical means of computing the preload volume of contrast. The requirement to compute a preload volume can be eliminated through use of a continuous flow system using bulk containers of, for example, contrast and a flushing fluid or diluent (for example, saline) as described, for example, in U.S. Pat. Nos. 6,901,283, 6,731,971, 6,442,418, 6,306,117, 6,149,627, 5,885,216, 5,843,037, and 5,806,519, U.S. Patent Application Publication No. 2006/0211989 (U.S. patent application Ser. No. 11/072,999), and International Patent Application Publication No. WO/2006/096388 (PCT International Patent Application No. PCT/US2006/007030), the contents of which are incorporated herein by reference.
In several embodiments, the process software discretizes the weight ranges of subjects in, for example, 7 ranges (for example, <40 kg, 40-59 kg, 60-74 kg, 75-94 kg, 95-109 kg, 110-125 kg, >125 kg) and the tube voltage in, for example, 4 values (80 kVp, 100 kVp, 120 kVp and 140 kVp) for each weight range. Weight factors are associated with each weight range/tube voltage combination. Exemplary weight factors, which depend upon and vary with patient weights and tube voltages, are displayed in Table 2 below.
The weight factors displayed in Table 2 were derived by applying a multi-objective optimization routine (Gembicki's weighted goal attainment method (Gembicki, F. W., “Vector Optimization for Control with Performance and Parameter Sensitivity Indices,” Case Western Reserve University (1974)) to simulated patients representing each of the weight ranges. This process is outlined in United States Patent Application Publication Number 2010/0113887, assigned to the assignee of the present application, the entire contents of which are incorporated by reference.
A similar multi-objective optimization was run to determine the weight factor values for the same set of discretized weight ranges for tube voltages of 80, 100 and 140 kVp. For each, a goal was set to attain an enhancement value of at least 325 HU in the right heart while keeping the contrast volumes and flow rates as low as possible. The weight factor values were calculated so as to provide the highest probability of meeting that goal. Other parameters were also considered in determining the weight factors. For example, the optimal value of the weight factor generally increases as the scan duration increases. This is primarily because more contrast is needed to ensure the enhancement target is met in the entire scan window. Moreover, longer scan durations typically imply lower flow rates, which can decrease enhancement and thus require additional contrast volume to compensate. However, the weight factors calculated can accommodate all scan duration values.
For each weight bin, the weight, height, age and gender were randomly generated for 50 simulated patients. The contrast dosing protocol parameters were varied during the simulation as follows:
Contrast Concentration: 320 and 370 mgI/mL
Scan Duration: 4, 10, 16 and 20 seconds
Minimum Injection Duration: 12 seconds
Max Flow Rate: 7 mL/s
Syringe Capacity: 194 mL
Dual Flow: ON and OFF
The right heart compartment enhancement was calculated as the average enhancement during the scan window. A test bolus of 20 mL contrast, 40 mL saline was used to determine the appropriate timing for the scan window. The minimum injection duration was not varied because it is usually set at 12 seconds when performing an injection for cardiac imaging. It is not generally necessary to vary the minimum injection duration value as long as the scan duration values are chosen so as to simulate all possible states of volume and flow rate adjustment during protocol generation.
For each of the simulated patients, all possible permutations of the above parameters were simulated according to the PK model described by Bae. K. T. Bae, J. P. Heiken, and J. A. Brink, “Aortic and hepatic contrast medium enhancement at CT. Part I. Prediction with a computer model,” Radiology, vol. 207, pp. 647-55 (1998); K. T. Bae, “Peak contrast enhancement in CT and MR angiography: when does it occur and why? Pharmacokinetic study in a porcine model,” Radiology, vol. 227, pp. 809-16 (2003); K. T. Bae et al., “Multiphasic Injection. Method for Uniform Prolonged Vascular Enhancement at CT Angiography: Pharmacokinetic Analysis and Experimental Porcine Method,” Radiology, vol. 216, pp. 872-880 (2000); U.S. Pat. Nos. 5,583,902, 5,687,208, 6,055,985, 6,470,889 and 6,635,030.
In choosing the best possible weight factor values, a set of enhancement criteria were defined for each application. For pulmonary angiography, for example, the set goal was to achieve at least 325 HU of enhancement while using the least possible contrast and the lowest flow rate. A cost function was constructed according to the following equation:
Cost=0.7×|ERH−325|+0.2×(R−5)+0.1×VcD (1)
R: flow rate (mL/s)
VcD: contrast diagnostic volume (mL)
ERH: Mean enhancement in right heart during scan window (HU)
In addition, it was considered desirable to restrict the number of cases where the right heart enhancement fell below 275 HU. Thus, for each weight bin, the statistical distribution of weight factor values for all cases meeting a cost function target of 47.5, which was an arbitrarily selected cost function target based on what was understood to be an acceptable value, was compared to the distribution of weight factor values for which the enhancement in the right heart was less than 275 HU and another distribution for cases not meeting the cost function target where the flow rate exceeded 6 mL/s.
The histograms of each distribution were computed, and the point where the maximum positive difference between the high and low enhancement distributions was observed was considered to be the best possible weight factor value as it represents the value where the enhancement criteria will be met most of the time and where the enhancement in the right heart will only fall below 300 HU in a very limited number of cases.
From the histogram shown in
The simulations described above were used to determine if patient or injection protocol parameters are likely to influence the enhancement outcomes, or, in other words, to determine whether it is more likely to achieve the specified enhancement target for either a given type of patient or a specific injection protocol. To analyze the effect of patient age, for example, the average age of simulated patients who met the 325 HU target was compared to the average age of the entire simulated patient population. This was done for each value of the tube voltage and across all weight bins. The results are shown in Table 3, below.
The results of Table 3 show that the average age of patients in cases where the enhancement target is met is statistically significantly different from the average age of the overall patient population, demonstrating a slight tilt towards older patients. A likely explanation for this is that, generally speaking, older patients tend to exhibit lower cardiac output values, which leads to higher enhancement peaks.
The height of the simulated patients was also evaluated in a similar way, and the results of this evaluation are shown in Table 4, below.
From the results shown in Table 4, it is evident that the differences in height between the groups where the enhancement target is met and the general patient population are not significant. The difference achieves statistical significance, but in physical terms has no practical meaning.
The influence of scan duration was also measured, which was observed by calculating for each tube voltage value the percentage of scans which successfully met the target obtained for each of the four scan duration values. The results of this evaluation are shown in Table 5.
In Table 5, the proportion of successful cases occurring for scan durations of 4 and 10 seconds tends to increase as the tube voltage increases while it decreases for scan durations of 16 and 20 seconds. This is likely, at least in part, because for longer scan durations, the average enhancement is lower due to both a longer scan window and a slower contrast injection rate. As the tube voltage increases, the amount of contrast required to attain the enhancement target increases as well. This can lead to instances where the amount of contrast calculated by the protocol exceeds the syringe capacity, leading to a lower than expected enhancement plateau in the scan window. When this occurs, the shorter scan duration windows are more likely to meet the enhancement target since the scan will only occur during the period of highest enhancement.
The influence of contrast concentration and gender were also evaluated, and the results of this evaluation are shown in Tables 6 and 7, below.
From the data in Table 6, it does not appear that contrast concentration has a particular influence on the incidence of success as both tested contrast concentrations led to similar percentages of successful outcomes. Similarly, from Table 7, it does not appear that gender has any particular influence on successfully achieving enhancement targets.
The above simulations were used to develop the weight factors of Table 8, below.
Additionally, the weight factors in Table 8 were verified to ensure that they do not yield unrealistic injection protocols. To do so, statistical analysis of the flow rate and contrast volume usage was performed to verify that injection protocols generated according to the procedure outlined in U.S. Patent Application Publication No. 2010/0113887 using these weight factors were feasible. The results of this analysis are shown in
In
The mean right heart enhancement across the scan window was also calculated using the weight factors of Table 8 and the results are displayed in
Clinical testing of the weight factors of Table 8 was also conducted using patient data from clinical trials at UPMC and Muenster. In the testing, there were 105 patients, whose summary statistics are presented in Table 9 below.
The sampling included 63 male patients and 42 female patients.
The simulation described above was run on this patient data using the weight factors of Table 8. For each patient weight, an injection protocol was calculated according to the protocol calculation process outlined in U.S. Patent Application Publication No. 2010/0113887 for each tube voltage and the average flow rate of each of the injection protocols was plotted against patient weights for each tube voltage value. The results are shown in
Similarly, the total contrast volume used in the injection protocol, including in the diagnostic phase and the dual flow phase, was also calculated for each patient and plotted against weight, the results of which are shown in
Using the weight factors, injection protocols for a patient can be determined by the system according to a weight-based algorithm. One such embodiment of a weight-based algorithm for determining a volume of a pharmaceutical fluid, such as contrast, that is to be injected during an injection phase is represented by the following equation:
V1=patient weight*X*Y (2)
V1: volume of pharmaceutical fluid to be delivered in the phase;
X: weight factor;
Y: contrast concentration in pharmaceutical fluid
Once the total volume to be delivered during a particular phase is known, the system can determine the appropriate flow rate for a particular phase according to the formula:
Flow Rate=V1/injection duration (3)
The injection duration can be determined in a variety of ways. For example, the injection duration can be determined by the system based upon one or more criteria concerning the imaging procedure (e.g., the region of the body to be imaged) and/or the patient (e.g. patient weight), it can be a value that is inputted directly by the operator, or it can represent a preset parameter, as described above.
Parameters of additional phases can be similarly determined. For example, the system can determine parameters for a first phase in which only the pharmaceutical fluid is to be delivered and a second, diluted phase in which both the pharmaceutical fluid and a diluent, such as saline, are to be delivered.
The implementation software can be programmed to generate parameters of the injection protocol based on the above algorithms and weight factors, which are based, in part, on the x-ray tube voltage. Once generated, the parameters can be populated in the graphical user interface for operator review. As described previously,
In other non-limiting embodiments, determination of appropriate injection protocol parameters can be accomplished by modifying or adjusting protocol parameters of a baseline injection protocol using a tube voltage modification factor to account for differences between the voltage being applied to an x-ray tube during a particular scan (or phase thereof) and the tube voltage that was used or assumed in determining the parameters of the baseline protocol.
For purposes of this disclosure, baseline injection protocols include protocols that have been established in the clinical literature, established through the collection of patient data over time by, for example, employing artificial intelligence techniques, statistical means, adaptive learning methodologies, etc., or established through mathematical modeling. These protocols may depend on, for example, contrast agent concentration, for example, iodine concentration in the case of a CT procedure, a patient parameter, for example, body weight, height, gender, age, cardiac output, etc., the type of scan being performed, the type of catheter inserted into the patient for intravascular access, and/or other patient specific data. In some non-limiting examples, baseline protocols have been, or can be, generated using a weight factor similar to the generation of protocols using weight factors discussed above. Such protocols, as well as methods and systems for generating such protocols, are described in PCT International Patent Application No. PCT/US05/41913, entitled MODELING OF PHARMACEUTICAL PROPAGATION, filed Nov. 16, 2005, claiming the benefit of U.S. Provisional Patent Application Ser. No. 60/628,201, assigned to the assignee of the present invention, and PCT International Patent Application No. PCT/US07/26194, entitled PATIENT-BASED PARAMETER GENERATION SYSTEMS FOR MEDICAL INJECTION PROCEDURES, filed Dec. 21, 2007, claiming the benefit of U.S. Provisional Patent Application Ser. Nos. 60/877,779 and 60/976,002, assigned to the assignee of the present invention, the disclosures of which are incorporated herein by reference.
Baseline injection protocols for use herein may be stored in memory on the system, made accessible to the system across a network, or determined by the system in response to one or more inputted values. For example, a series of baseline injection protocols, each known to provide optimal dosing parameters for a certain combination of scan region, body weight, contrast concentration, etc. at a particular tube voltage may be stored in memory. The system can then recall from memory information about the appropriate baseline protocol for use in generating an injection protocol once sufficient information about the to-be-generated injection protocol is known. For example, when an operator selects a scan region/body weight/contrast concentration combination for a new injection procedure, the system can recall a baseline protocol generated for the same, or a similar, combination of scan region/body weight/contrast concentration. Alternatively, the system may contain software which can compute baseline injection protocols based on one or more patient-specific or procedure-specific criteria inputted by the operator, including the values discussed above (e.g., patient-specific and procedure-specific parameters).
Baseline injection protocols generally reflect optimal contrast dosing parameters at a particular tube voltage, which is referred to herein as the baseline tube voltage. The most common baseline tube voltage is 120 kVp. The baseline tube voltage associated with a baseline injection protocol can be stored along with other information about the baseline injection protocol, though in some non-limiting embodiments the operator may be prompted to enter the baseline tube voltage for a particular baseline injection protocol or the baseline tube voltage may be assumed to be 120 kVp. Because of the relationship between tube voltage and attenuation, a baseline injection protocol may not provide optimal contrast dosing parameters if a tube voltage other than the baseline tube voltage is being applied when using that protocol. Accordingly, the baseline protocol parameters can be modified or adjusted in order to achieve more optimal contrast dosing at the new tube voltage value. Since the modified parameters are not readily known to the operator of the injector, the parameter generation system described herein eases the task of an operator by providing tube voltage modification factors that should be used in conjunction with a baseline injection protocol to determine more optimum injection parameters for the tube voltage of interest.
In several non-limiting embodiments, applying a tube voltage modification factor to one or more of the parameters of a baseline injection protocol may be used to create a new injection protocol tailored for the particular tube voltage to be used in the scan, such as by adjusting or modifying the parameters of the baseline protocol.
In one non-limiting embodiment, the tube voltage modification factors are determined from an analysis of the relationship between the attenuation to contrast concentration ratios (k-factor) and tube voltage. The relationship between the k-factor and tube voltage can be established through a review of the clinical literature, and an art recognized relationship is shown in Table 1 above. Alternatively, or additionally, the relationship between the k-factor and the tube voltage can be determined by performing a calibration exercise at the scanner.
One such calibration exercise involves preparing a number of vials, each containing a mix of a known iodine concentration, typically in mgI/mL. The vials are then scanned at different tube voltages, such as at 80, 100, 120, and 140 kVp, and the attenuation value for each vial at each tube voltage is recorded. The tube voltages tested should at least include the baseline tube voltage used in determining the baseline protocol, which is typically 120 kVp, as well as any other tube voltages that may be used with the scanner, the reason for which will become apparent below. For each of the tube voltages tested, the vial concentrations are plotted against the recorded attenuation values and a best-fit line is prepared for each tube voltage. For each tube voltage, the slope of the best-fit line represents the respective k-factor for that particular tube voltage, in units of HU/mgI/mL. Typical k-factor values determined according to this calibration exercise should generally correspond to those art recognized values reported in Table 1.
The tube voltage modification factors for different tube voltages can be determined based on the k-factors and information about the baseline tube voltage by calculating the relative increase or decrease in the k-factor between a particular tube voltage and the baseline tube voltage. For example, if the baseline tube voltage has a k-factor of 25 HU/mgI/mL, the tube voltage modification factor corresponding to a tube voltage having a k-factor of 41 HU/mgI/mL would be calculated as (25-41)/41, or −39%.
Table 10 below illustrates tube voltage modification factors for different tube voltages assuming the baseline tube voltage is 120 kVp, using the k-factors from Table 1.
Additional adjustment of the calculated tube voltage modification factors may be appropriate at the operator's discretion, as other aspects of the image, noise in particular, change with tube voltage modifications. Therefore, an operator may prefer that instead of a 39% decrease at 80 kVp, for example, only a 30% decrease be used. While the default computed values are suggested by the software based on the calibration experiment results, the operator would be able to modify the suggested values at his or her preference.
Once the tube voltage modification factors are known, the operator may decide which parameters of the baseline injection protocol should be adjusted based on the modification factors. For example, the operator may decide that both the total volume and flow rate parameters should be adjusted based on the tube voltage modification factor in order to maintain a constant injection duration, or only the total volume may be decreased in order to maintain a constant flow rate and decrease the injection duration. Typically, if the flow rate of contrast is modified, the flow rates of any saline phases are adjusted by the same amount to maintain consistency between the diagnostic contrast phases, the saline patency checks, and the saline flushes. Alternatively, the software can be set to automatically select one or more parameters of the baseline injection protocol to adjust according to the tube voltage modification factor, typically the volume and flow rate.
The parameter generator must also know or be able to identify the tube voltage to be applied as part of the new injection procedure in order to determine the appropriate tube voltage modification factor to apply. For example, the value of the tube voltage can be inputted by the operator directly to the parameter generator or the parameter generator can receive information about the tube voltage from the scanner or another component of the system, wherein the tube voltage is known to the component because of a particular setting or capability of the component or because an operator has input the tube voltage value to the component. Once known, an injection protocol can be generated by applying the tube voltage modification factor to the baseline protocol parameters. For example, in the case of modifying the volume and flow rate of the baseline protocol, generation of new volume and flow rate parameters involves increasing or decreasing the volume and flow rate parameters of the baseline protocol by the tube voltage modification factor. Generation of the injection protocols can be accomplished by the software of the system by recalling from memory and/or generating a baseline protocol, determining a tube voltage modification factor based on the details of the baseline protocol selected, including the baseline tube voltage and the intended tube voltage to be applied, and adjusting the baseline protocol parameters by the tube voltage modification factor.
Adjustment of the protocol parameters using the tube voltage modification factor allows for a baseline protocol to be modified in order to maintain similar enhancement characteristics despite a change in the tube voltage. For example, if a given volume and flow rate provide 300 HU of enhancement in a given region of interest scanned at 120 kVp, the iodine concentration in that region can be calculated from the k-factor in Table 1 to be 12 mgI/mL (300 HU÷25 HU/mgI/ml). Using the same volume and flow rate (and thus assuming the same iodine concentration in that region) to scan the same region of interest at 100 kVp would be expected to provide 372 HU of enhancement using the k-factor in Table 1 (31 HU/mgI/mL*12 mgI/mL). To maintain the 300 HU at 100 kVp, the volume and/or flow rate can be decreased by the tube voltage modification factor of 19% to obtain an iodine concentration of 9.7 mgI/mL.
Similar to the embodiments described above, an operator can be presented with a graphical user interface that provides a mechanism or mode for entering the information necessary for populating the phase parameters based on a tube voltage modification factor.
For instance, one embodiment of a graphical user interface from which the operator chooses a region of the body of interest, and which follows a workflow described with reference to
Upon choosing the region of the body to be imaged, the operator may be prompted to select from among different available baseline protocols, each of which may have preset parameters associated therewith. For example,
Following selection of the region to be imaged and the baseline protocol, the operator can be prompted to enter values for the tube voltage that will be used.
Following selection of the tube voltage, baseline protocol and/or other inputs such as patient weight and iodine concentration, the implementation software of the parameter generator can determine the appropriate modification of the baseline protocol, such as through the determination of a tube voltage modification factor. The operator can then be presented with an interface informing the operator of the parameters selected and the associated adjustment made as a result of the selected tube voltage value. An example of one such interface is shown in
Based upon the selection of tube voltage made, the implementation software computes an injection protocol using the tube voltage modification factor. The protocol parameters such as the flow rates and volumes for the phases (including the test injection, if any), can then be presented to the operator for his or her review. One such example of an interface displaying a computed injection protocol is shown in
Once review of the computed protocols is complete, the operator can initiate the injection process, which will be performed according to the particulars of the generated protocol.
The representative embodiments set forth above are discussed primarily in the context of CT imaging. However, the devices, systems and methods described herein have wide applicability to the injection of pharmaceuticals. For example, the systems, devices and methods discussed above may be useful in connection with the injection of contrast media for tomographic imaging procedures other than CT.
In general, the embodiments of a parameter generation system described above determine the parameters of an initial protocol using information available to the operator, including information about the tube voltage to be applied during the imaging procedure. The initial protocol provides information on the volume of one or more fluids to be delivered to, for example, enable preloading of one or more syringes. The parameters of the generated protocol may be adjusted on the basis of characterization of the cardiovascular system. The parameter generation systems of this disclosure were described in connection with an injection including an initial contrast only injection phase and a subsequent admixture phase. As will be understood by one skilled in the art, the present parameter generation system is applicable to the injection of various pharmaceuticals, with or without injection of diluent of flushing fluids, via injection protocols that can include one, two of more phases.
Although the present invention has been described in detail in connection with the above embodiments and/or examples, it should be understood that such detail is illustrative and not restrictive, and that those skilled in the art can make variations without departing from the invention. The scope of the invention is indicated by the following claims rather than by the foregoing description. All changes and variations that come within the meaning and range of equivalency of the claims are to be embraced within their scope.
The present application is a 35 U.S.C. § 120 continuation application of U.S. patent application Ser. No. 14/401,330, filed Nov. 14, 2014, which is a 35 U.S.C. § 371 national phase application of PCT/US12/37744, filed on May 14, 2012, the entire contents of which are incorporated by reference herein.
Number | Name | Date | Kind |
---|---|---|---|
3349713 | Fassbender | Oct 1967 | A |
3520295 | Paul | Jul 1970 | A |
3523523 | Heinrich et al. | Aug 1970 | A |
3623474 | Heilman | Nov 1971 | A |
3701345 | Heilman | Oct 1972 | A |
3755655 | Senecal | Aug 1973 | A |
3793600 | Grosbard | Feb 1974 | A |
3812843 | Wootten et al. | May 1974 | A |
3817843 | Barrett | Jun 1974 | A |
3839708 | Lyons et al. | Oct 1974 | A |
3888239 | Rubinstein | Jun 1975 | A |
3895220 | Nelson et al. | Jul 1975 | A |
3898983 | Elam | Aug 1975 | A |
3927955 | Spinosa et al. | Dec 1975 | A |
3941126 | Dietrich et al. | Mar 1976 | A |
3958103 | Oka et al. | May 1976 | A |
3968195 | Bishop | Jul 1976 | A |
3995381 | Manfred et al. | Dec 1976 | A |
4001549 | Corwin | Jan 1977 | A |
4006736 | Kranys et al. | Feb 1977 | A |
4038981 | Lefevre et al. | Aug 1977 | A |
4044757 | McWhorter et al. | Aug 1977 | A |
4090502 | Tajika | May 1978 | A |
4135247 | Gordon et al. | Jan 1979 | A |
4151845 | Clemens | May 1979 | A |
4187057 | Xanthopoulos | Feb 1980 | A |
4191183 | Mendelson | Mar 1980 | A |
4199000 | Edstrom | Apr 1980 | A |
4207871 | Jenkins | Jun 1980 | A |
4223675 | Williams | Sep 1980 | A |
4262824 | Hrynewycz | Apr 1981 | A |
4263916 | Brooks et al. | Apr 1981 | A |
4280494 | Cosgrove, Jr. et al. | Jul 1981 | A |
4284073 | Krause et al. | Aug 1981 | A |
4315247 | Germanton | Feb 1982 | A |
4319568 | Tregoning | Mar 1982 | A |
4340153 | Spivey | Jul 1982 | A |
4341153 | Bowser | Jul 1982 | A |
4392847 | Whitney et al. | Jul 1983 | A |
4392849 | Petre et al. | Jul 1983 | A |
4396385 | Kelly et al. | Aug 1983 | A |
4402310 | Kimura | Sep 1983 | A |
4409966 | Lambrecht et al. | Oct 1983 | A |
4434820 | Glass | Mar 1984 | A |
4434822 | Bellamy et al. | Mar 1984 | A |
4435173 | Siposs et al. | Mar 1984 | A |
4444198 | Petre | Apr 1984 | A |
4447230 | Gula et al. | May 1984 | A |
4448200 | Brooks et al. | May 1984 | A |
4474476 | Thomsen | Oct 1984 | A |
4477923 | Baumann | Oct 1984 | A |
4479760 | Bilstad et al. | Oct 1984 | A |
4479761 | Bilstad et al. | Oct 1984 | A |
4479762 | Bilstad et al. | Oct 1984 | A |
4504908 | Riederer et al. | Mar 1985 | A |
4509526 | Barnes et al. | Apr 1985 | A |
4512764 | Wunsch | Apr 1985 | A |
4542459 | Riederer | Sep 1985 | A |
4544949 | Kurihara | Oct 1985 | A |
4551133 | Zegers De Beyl et al. | Nov 1985 | A |
4552130 | Kinoshita | Nov 1985 | A |
4559036 | Wunsch | Dec 1985 | A |
4563175 | Lafond | Jan 1986 | A |
4578802 | Itoh | Mar 1986 | A |
4585009 | Barker et al. | Apr 1986 | A |
4585941 | Bergner | Apr 1986 | A |
4610670 | Spencer | Sep 1986 | A |
4610790 | Reti et al. | Sep 1986 | A |
4611340 | Okazaki | Sep 1986 | A |
4612572 | Komatsu et al. | Sep 1986 | A |
4625494 | Iwatschenko et al. | Dec 1986 | A |
4626144 | Berner | Dec 1986 | A |
4633307 | Honda | Dec 1986 | A |
4634426 | Kamen | Jan 1987 | A |
4636144 | Abe et al. | Jan 1987 | A |
4655197 | Atkinson | Apr 1987 | A |
4662906 | Matkovich et al. | May 1987 | A |
4672651 | Horiba et al. | Jun 1987 | A |
4676776 | Howson | Jun 1987 | A |
4682170 | Kubota et al. | Jul 1987 | A |
4689670 | Okazaki | Aug 1987 | A |
4710166 | Thompson et al. | Dec 1987 | A |
4723261 | Janssen et al. | Feb 1988 | A |
4750643 | Wortrich | Jun 1988 | A |
4754786 | Roberts | Jul 1988 | A |
4781687 | Wall | Nov 1988 | A |
4783273 | Knutsson et al. | Nov 1988 | A |
4789014 | Digianfilippo et al. | Dec 1988 | A |
4793357 | Lindstrom | Dec 1988 | A |
4795429 | Feldstein | Jan 1989 | A |
4798590 | O'Leary et al. | Jan 1989 | A |
4804454 | Asakura et al. | Feb 1989 | A |
4823833 | Hogan et al. | Apr 1989 | A |
4835521 | Andrejasich et al. | May 1989 | A |
4836187 | Iwakoshi et al. | Jun 1989 | A |
4838856 | Mulreany et al. | Jun 1989 | A |
4840620 | Kobayashi et al. | Jun 1989 | A |
4844052 | Iwakoshi et al. | Jul 1989 | A |
4853521 | Claeys et al. | Aug 1989 | A |
4854301 | Nakajima | Aug 1989 | A |
4854324 | Hirschman et al. | Aug 1989 | A |
4857056 | Talonn | Aug 1989 | A |
4874359 | White et al. | Oct 1989 | A |
4879880 | Harrison | Nov 1989 | A |
4880014 | Zarowitz et al. | Nov 1989 | A |
4887208 | Schneider et al. | Dec 1989 | A |
4887554 | Whitford | Dec 1989 | A |
4901731 | Millar | Feb 1990 | A |
4903705 | Imamura et al. | Feb 1990 | A |
4913154 | Ermert et al. | Apr 1990 | A |
4922916 | Ermert et al. | May 1990 | A |
4925444 | Orkin et al. | May 1990 | A |
4929818 | Bradbury et al. | May 1990 | A |
4935005 | Haines | Jun 1990 | A |
4936832 | Vaillancourt | Jun 1990 | A |
4943279 | Samiotes et al. | Jul 1990 | A |
4943779 | Pedersen et al. | Jul 1990 | A |
4943987 | Asahina et al. | Jul 1990 | A |
4946256 | Woodruff | Aug 1990 | A |
4946439 | Eggers | Aug 1990 | A |
4947412 | Mattson | Aug 1990 | A |
4950245 | Brown et al. | Aug 1990 | A |
4954129 | Giuliani et al. | Sep 1990 | A |
4965726 | Heuscher et al. | Oct 1990 | A |
4966579 | Polaschegg | Oct 1990 | A |
4976687 | Martin | Dec 1990 | A |
4978335 | Arthur, III | Dec 1990 | A |
4981467 | Bobo, Jr. et al. | Jan 1991 | A |
4995064 | Wilson et al. | Feb 1991 | A |
5002055 | Merki et al. | Mar 1991 | A |
5004472 | Wallace et al. | Apr 1991 | A |
5009654 | Minshall et al. | Apr 1991 | A |
5010473 | Jacobs | Apr 1991 | A |
5013173 | Shiraishi | May 1991 | A |
5018173 | Komai et al. | May 1991 | A |
5032112 | Fairchild et al. | Jul 1991 | A |
5034987 | Fujimoto et al. | Jul 1991 | A |
5040537 | Katakura | Aug 1991 | A |
5053002 | Barlow | Oct 1991 | A |
5054044 | Audon et al. | Oct 1991 | A |
5056568 | Digianfilippo et al. | Oct 1991 | A |
5059173 | Sacco | Oct 1991 | A |
5061243 | Winchell et al. | Oct 1991 | A |
5069662 | Bodden | Dec 1991 | A |
5078683 | Sancoff et al. | Jan 1992 | A |
5088981 | Howson et al. | Feb 1992 | A |
5100380 | Epstein et al. | Mar 1992 | A |
5104374 | Bishko et al. | Apr 1992 | A |
5104387 | Pokorney et al. | Apr 1992 | A |
5108365 | Woods, Jr. | Apr 1992 | A |
5111492 | Klausz | May 1992 | A |
5113904 | Aslanian | May 1992 | A |
5113905 | Pruitt et al. | May 1992 | A |
5123056 | Wilson | Jun 1992 | A |
5123121 | Broersma | Jun 1992 | A |
5125018 | Asahina | Jun 1992 | A |
5128121 | Berg et al. | Jul 1992 | A |
5133336 | Savitt et al. | Jul 1992 | A |
5135000 | Akselrod et al. | Aug 1992 | A |
5150292 | Hoffmann et al. | Sep 1992 | A |
5166961 | Brunnett et al. | Nov 1992 | A |
5180895 | Briggs et al. | Jan 1993 | A |
5180896 | Gibby et al. | Jan 1993 | A |
5190744 | Rocklage et al. | Mar 1993 | A |
5191878 | Iida et al. | Mar 1993 | A |
5196007 | Ellman et al. | Mar 1993 | A |
5199604 | Palmer et al. | Apr 1993 | A |
5207642 | Orkin et al. | May 1993 | A |
5215095 | MacVicar et al. | Jun 1993 | A |
5228070 | Mattson | Jul 1993 | A |
5230614 | Zanger et al. | Jul 1993 | A |
5242390 | Goldrath | Sep 1993 | A |
5249122 | Stritzke | Sep 1993 | A |
5249579 | Hobbs et al. | Oct 1993 | A |
5262946 | Heuscher | Nov 1993 | A |
5267174 | Kaufman et al. | Nov 1993 | A |
5269756 | Dryden | Dec 1993 | A |
5273537 | Haskvitz et al. | Dec 1993 | A |
5274218 | Urata et al. | Dec 1993 | A |
5276174 | Plotkin et al. | Jan 1994 | A |
5276614 | Heuscher | Jan 1994 | A |
5286252 | Tuttle et al. | Feb 1994 | A |
5287273 | Kupfer et al. | Feb 1994 | A |
5300031 | Neer et al. | Apr 1994 | A |
5301656 | Negoro et al. | Apr 1994 | A |
5301672 | Kalender | Apr 1994 | A |
5304126 | Epstein et al. | Apr 1994 | A |
5310997 | Roach et al. | May 1994 | A |
5311568 | McKee, Jr. et al. | May 1994 | A |
5313992 | Grabenkort | May 1994 | A |
5317506 | Coutre et al. | May 1994 | A |
5328463 | Barton et al. | Jul 1994 | A |
5329459 | Kaufman et al. | Jul 1994 | A |
5339799 | Kami et al. | Aug 1994 | A |
5349625 | Born et al. | Sep 1994 | A |
5349635 | Scott | Sep 1994 | A |
5352979 | Conturo | Oct 1994 | A |
5354273 | Hagen | Oct 1994 | A |
5361761 | Van Lysel et al. | Nov 1994 | A |
5362948 | Morimoto | Nov 1994 | A |
5368562 | Blomquist et al. | Nov 1994 | A |
5368567 | Lee | Nov 1994 | A |
5368570 | Thompson et al. | Nov 1994 | A |
5373231 | Boll et al. | Dec 1994 | A |
5376070 | Purvis et al. | Dec 1994 | A |
5378231 | Johnson et al. | Jan 1995 | A |
5382232 | Hague et al. | Jan 1995 | A |
5383058 | Yonezawa | Jan 1995 | A |
5383231 | Yamagishi | Jan 1995 | A |
5383858 | Reilly et al. | Jan 1995 | A |
5385540 | Abbott et al. | Jan 1995 | A |
5388139 | Beland | Feb 1995 | A |
5392849 | Matsunaga et al. | Feb 1995 | A |
5400792 | Hoebel et al. | Mar 1995 | A |
5417213 | Prince | May 1995 | A |
5417219 | Takamizawa et al. | May 1995 | A |
5431627 | Pastrone et al. | Jul 1995 | A |
5433704 | Ross et al. | Jul 1995 | A |
5445621 | Poli et al. | Aug 1995 | A |
5450847 | Kaempfe et al. | Sep 1995 | A |
5453639 | Cronin et al. | Sep 1995 | A |
5456255 | Abe et al. | Oct 1995 | A |
5458128 | Polanyi et al. | Oct 1995 | A |
5459769 | Brown | Oct 1995 | A |
5460609 | O'Donnell | Oct 1995 | A |
5464391 | Devale | Nov 1995 | A |
5468240 | Gentelia et al. | Nov 1995 | A |
5469769 | Sawada et al. | Nov 1995 | A |
5469849 | Sasaki et al. | Nov 1995 | A |
5472403 | Cornacchia et al. | Dec 1995 | A |
5474683 | Bryant et al. | Dec 1995 | A |
5485831 | Holdsworth et al. | Jan 1996 | A |
5489265 | Montalvo et al. | Feb 1996 | A |
5494036 | Uber, III et al. | Feb 1996 | A |
5494822 | Sadri | Feb 1996 | A |
5496273 | Pastrone et al. | Mar 1996 | A |
5507412 | Ebert et al. | Apr 1996 | A |
5515851 | Goldstein | May 1996 | A |
5522798 | Johnson et al. | Jun 1996 | A |
5531679 | Schulman et al. | Jul 1996 | A |
5531697 | Olsen et al. | Jul 1996 | A |
5533978 | Teirstein | Jul 1996 | A |
5544215 | Shroy, Jr. et al. | Aug 1996 | A |
5547470 | Johnson et al. | Aug 1996 | A |
5552130 | Kraus et al. | Sep 1996 | A |
5553619 | Prince | Sep 1996 | A |
5560317 | Bunyan et al. | Oct 1996 | A |
5566092 | Wang et al. | Oct 1996 | A |
5569181 | Heilman et al. | Oct 1996 | A |
5569208 | Woelpper et al. | Oct 1996 | A |
5573515 | Wilson et al. | Nov 1996 | A |
5579767 | Prince | Dec 1996 | A |
5583902 | Bae | Dec 1996 | A |
5590654 | Prince | Jan 1997 | A |
5592940 | Kampfe et al. | Jan 1997 | A |
5601086 | Pretlow, III et al. | Feb 1997 | A |
5611344 | Bernstein et al. | Mar 1997 | A |
5616124 | Hague et al. | Apr 1997 | A |
5681285 | Ford et al. | Oct 1997 | A |
5687208 | Bae et al. | Nov 1997 | A |
5687708 | Farnsworth et al. | Nov 1997 | A |
5713358 | Mistretta et al. | Feb 1998 | A |
5724976 | Mine et al. | Mar 1998 | A |
5739508 | Uber, III | Apr 1998 | A |
5743266 | Levene et al. | Apr 1998 | A |
5768405 | Makram-Ebeid | Jun 1998 | A |
5796862 | Pawlicki et al. | Aug 1998 | A |
5799649 | Prince | Sep 1998 | A |
5800397 | Wilson et al. | Sep 1998 | A |
5806519 | Evans, III et al. | Sep 1998 | A |
5808203 | Nolan, Jr. et al. | Sep 1998 | A |
5827219 | Uber, III et al. | Oct 1998 | A |
5827504 | Yan et al. | Oct 1998 | A |
5840026 | Uber, III et al. | Nov 1998 | A |
5843037 | Uber, III | Dec 1998 | A |
5846517 | Unger | Dec 1998 | A |
5865744 | Lemelson | Feb 1999 | A |
5881124 | Giger et al. | Mar 1999 | A |
5882343 | Wilson et al. | Mar 1999 | A |
5885216 | Evans, III et al. | Mar 1999 | A |
5902054 | Coudray | May 1999 | A |
5903454 | Hoffberg et al. | May 1999 | A |
5916165 | Duchon et al. | Jun 1999 | A |
5920054 | Uber, III | Jul 1999 | A |
5987347 | Khoury et al. | Nov 1999 | A |
5988587 | Duchon et al. | Nov 1999 | A |
6046225 | Maddock | Apr 2000 | A |
6055985 | Bae et al. | May 2000 | A |
6056902 | Hettinga | May 2000 | A |
6063052 | Uber, III et al. | May 2000 | A |
6073042 | Simonetti | Jun 2000 | A |
6099502 | Duchon et al. | Aug 2000 | A |
6149627 | Uber, III | Nov 2000 | A |
6186146 | Glickman | Feb 2001 | B1 |
6201889 | Vannah | Mar 2001 | B1 |
6221045 | Duchon et al. | Apr 2001 | B1 |
6236706 | Hsieh | May 2001 | B1 |
6248093 | Moberg | Jun 2001 | B1 |
6306117 | Uber, III | Oct 2001 | B1 |
6313131 | Lawyer | Nov 2001 | B1 |
6317623 | Griffiths et al. | Nov 2001 | B1 |
6337992 | Gelman | Jan 2002 | B1 |
6344030 | Duchon et al. | Feb 2002 | B1 |
6346229 | Driehuys et al. | Feb 2002 | B1 |
6381486 | Mistretta et al. | Apr 2002 | B1 |
6385483 | Uber, III et al. | May 2002 | B1 |
6387098 | Cole et al. | May 2002 | B1 |
6397093 | Aldrich | May 2002 | B1 |
6397097 | Requardt | May 2002 | B1 |
6397098 | Uber, III et al. | May 2002 | B1 |
6402697 | Calkins et al. | Jun 2002 | B1 |
6423719 | Lawyer | Jul 2002 | B1 |
6442418 | Evans, III et al. | Aug 2002 | B1 |
6470889 | Bae et al. | Oct 2002 | B1 |
6471674 | Emig et al. | Oct 2002 | B1 |
6478735 | Pope et al. | Nov 2002 | B1 |
6503226 | Martinell et al. | Jan 2003 | B1 |
6520930 | Critchlow et al. | Feb 2003 | B2 |
6527718 | Connor et al. | Mar 2003 | B1 |
6554819 | Reich | Apr 2003 | B2 |
6556695 | Packer et al. | Apr 2003 | B1 |
6572851 | Muramatsu et al. | Jun 2003 | B2 |
6574496 | Golman et al. | Jun 2003 | B1 |
6575930 | Trombley, III et al. | Jun 2003 | B1 |
6597938 | Liu | Jul 2003 | B2 |
6626862 | Duchon et al. | Sep 2003 | B1 |
6635030 | Bae et al. | Oct 2003 | B1 |
6643537 | Zaiezalo et al. | Nov 2003 | B1 |
6652489 | Trocki et al. | Nov 2003 | B2 |
6656157 | Duchon et al. | Dec 2003 | B1 |
6673033 | Sciulli et al. | Jan 2004 | B1 |
6685733 | Dae et al. | Feb 2004 | B1 |
6691047 | Fredericks | Feb 2004 | B1 |
6699219 | Emig et al. | Mar 2004 | B2 |
6731971 | Evans et al. | May 2004 | B2 |
6754521 | Prince | Jun 2004 | B2 |
6775764 | Batcher | Aug 2004 | B1 |
6776764 | Pinsky | Aug 2004 | B2 |
6866653 | Bae | Mar 2005 | B2 |
6866654 | Callan et al. | Mar 2005 | B2 |
6876720 | Tsuyuki | Apr 2005 | B2 |
6879853 | Meaney et al. | Apr 2005 | B2 |
6887214 | Levin et al. | May 2005 | B1 |
6889074 | Uber et al. | May 2005 | B2 |
6898453 | Lee | May 2005 | B2 |
6901283 | Evans et al. | May 2005 | B2 |
6970735 | Uber et al. | Nov 2005 | B2 |
6972001 | Emig et al. | Dec 2005 | B2 |
6983590 | Roelle et al. | Jan 2006 | B2 |
6994700 | Elkins et al. | Feb 2006 | B2 |
7094216 | Trombley et al. | Aug 2006 | B2 |
7104981 | Elkins et al. | Sep 2006 | B2 |
7108981 | Aoki et al. | Sep 2006 | B2 |
7163520 | Bernard et al. | Jan 2007 | B2 |
7266227 | Pedain et al. | Sep 2007 | B2 |
7267666 | Duchon et al. | Sep 2007 | B1 |
7267667 | Houde et al. | Sep 2007 | B2 |
7292720 | Horger et al. | Nov 2007 | B2 |
7313431 | Uber et al. | Dec 2007 | B2 |
7325330 | Kim et al. | Feb 2008 | B2 |
7326186 | Trombley et al. | Feb 2008 | B2 |
7363072 | Movahed | Apr 2008 | B2 |
7492947 | Nanbu | Feb 2009 | B2 |
7522744 | Bai et al. | Apr 2009 | B2 |
7672710 | Uber, III | Mar 2010 | B2 |
7672711 | Haras et al. | Mar 2010 | B2 |
7713239 | Uber et al. | May 2010 | B2 |
7783091 | Rinck et al. | Aug 2010 | B2 |
7864997 | Aben et al. | Jan 2011 | B2 |
7925330 | Kalafut et al. | Apr 2011 | B2 |
7937134 | Uber, III | May 2011 | B2 |
7996381 | Uber, III et al. | Aug 2011 | B2 |
8011401 | Utterback | Sep 2011 | B1 |
8055328 | Uber, III et al. | Nov 2011 | B2 |
8086001 | Bredno et al. | Dec 2011 | B2 |
8160679 | Uber, III et al. | Apr 2012 | B2 |
8197437 | Kalafut et al. | Jun 2012 | B2 |
8295914 | Kalafut et al. | Oct 2012 | B2 |
8315449 | Kemper et al. | Nov 2012 | B2 |
8346342 | Kalafut et al. | Jan 2013 | B2 |
8428694 | Kalafut et al. | Apr 2013 | B2 |
8486017 | Masuda et al. | Jul 2013 | B2 |
8705819 | Carlsen et al. | Apr 2014 | B2 |
8718747 | Bjornerud et al. | May 2014 | B2 |
9271656 | Korporaal | Mar 2016 | B2 |
9302044 | Kalafut et al. | Apr 2016 | B2 |
9421330 | Kalafut et al. | Aug 2016 | B2 |
20010027265 | Prince | Oct 2001 | A1 |
20010041964 | Grass et al. | Nov 2001 | A1 |
20020010551 | Wang et al. | Jan 2002 | A1 |
20020026148 | Uber et al. | Feb 2002 | A1 |
20020123702 | Cho | Sep 2002 | A1 |
20020151854 | Duchon et al. | Oct 2002 | A1 |
20030015078 | Taylor | Jan 2003 | A1 |
20030050556 | Uber et al. | Mar 2003 | A1 |
20030120171 | Diamantopoulos et al. | Jun 2003 | A1 |
20030195462 | Mann et al. | Oct 2003 | A1 |
20030198691 | Cheung et al. | Oct 2003 | A1 |
20030212364 | Mann et al. | Nov 2003 | A1 |
20030216683 | Shekalim | Nov 2003 | A1 |
20040011740 | Bernard et al. | Jan 2004 | A1 |
20040025452 | McLean | Feb 2004 | A1 |
20040039530 | Leesman et al. | Feb 2004 | A1 |
20040064041 | Lazzaro et al. | Apr 2004 | A1 |
20040097806 | Hunter et al. | May 2004 | A1 |
20040162484 | Nemoto | Aug 2004 | A1 |
20040163655 | Gelfand et al. | Aug 2004 | A1 |
20040167415 | Gelfand et al. | Aug 2004 | A1 |
20040215144 | Duchon et al. | Oct 2004 | A1 |
20040242994 | Brady et al. | Dec 2004 | A1 |
20050004517 | Courtney et al. | Jan 2005 | A1 |
20050053551 | Badiola | Mar 2005 | A1 |
20050112178 | Stern | May 2005 | A1 |
20050256441 | Lotan et al. | Nov 2005 | A1 |
20060013772 | Lewinter et al. | Jan 2006 | A1 |
20060052764 | Gelfand et al. | Mar 2006 | A1 |
20060074294 | Williams, Jr. et al. | Apr 2006 | A1 |
20060079843 | Brooks et al. | Apr 2006 | A1 |
20060096388 | Gysling et al. | May 2006 | A1 |
20060184099 | Hong | Aug 2006 | A1 |
20060211989 | Rhinehart et al. | Sep 2006 | A1 |
20060235353 | Gelfand et al. | Oct 2006 | A1 |
20060235474 | Demarais | Oct 2006 | A1 |
20060239918 | Klotz et al. | Oct 2006 | A1 |
20060253064 | Gelfand et al. | Nov 2006 | A1 |
20060253353 | Weisberger | Nov 2006 | A1 |
20060270971 | Gelfand et al. | Nov 2006 | A1 |
20060271111 | Demarais et al. | Nov 2006 | A1 |
20070016016 | Haras et al. | Jan 2007 | A1 |
20070078330 | Haras et al. | Apr 2007 | A1 |
20070213662 | Kalafut et al. | Sep 2007 | A1 |
20070225601 | Uber, III | Sep 2007 | A1 |
20070244389 | Hoppel et al. | Oct 2007 | A1 |
20070282199 | Uber, III | Dec 2007 | A1 |
20080009717 | Herrmann et al. | Jan 2008 | A1 |
20080045834 | Uber, III | Feb 2008 | A1 |
20080046286 | Halsted | Feb 2008 | A1 |
20080097339 | Ranchod et al. | Apr 2008 | A1 |
20080101678 | Suliga et al. | May 2008 | A1 |
20080119715 | Gonzalez et al. | May 2008 | A1 |
20080294035 | Zwick et al. | Nov 2008 | A1 |
20090028968 | Tam et al. | Jan 2009 | A1 |
20090116711 | Larson et al. | May 2009 | A1 |
20090177050 | Griffiths et al. | Jul 2009 | A1 |
20090226867 | Kalafut et al. | Sep 2009 | A1 |
20100030073 | Kalafut | Feb 2010 | A1 |
20100113887 | Kalafut | May 2010 | A1 |
20110200165 | Pietsch | Aug 2011 | A1 |
20120016233 | Kalafut et al. | Jan 2012 | A1 |
20120141005 | Djeridane et al. | Jun 2012 | A1 |
20130041257 | Nemoto | Feb 2013 | A1 |
20130044926 | Kemper et al. | Feb 2013 | A1 |
20130211247 | Kalafut et al. | Aug 2013 | A1 |
Number | Date | Country |
---|---|---|
259621 | Mar 2004 | AT |
7381796 | Apr 1997 | AU |
2045070 | Feb 1992 | CA |
2077712 | Dec 1993 | CA |
2234050 | Apr 1997 | CA |
3203594 | Aug 1983 | DE |
3726452 | Feb 1989 | DE |
4121568 | Oct 1992 | DE |
4426387 | Aug 1995 | DE |
19702896 | Jul 1997 | DE |
69631607 | Dec 2004 | DE |
0869738 | Jun 2004 | DK |
0121216 | Oct 1984 | EP |
0129910 | Jan 1985 | EP |
0189491 | Aug 1986 | EP |
0192786 | Sep 1986 | EP |
0245160 | Nov 1987 | EP |
0319275 | Jun 1989 | EP |
0337924 | Oct 1989 | EP |
0343501 | Nov 1989 | EP |
0364966 | Apr 1990 | EP |
0365301 | Apr 1990 | EP |
0372152 | Jun 1990 | EP |
0378896 | Jul 1990 | EP |
0429191 | May 1991 | EP |
0439711 | Aug 1991 | EP |
0471455 | Feb 1992 | EP |
0475563 | Mar 1992 | EP |
0595474 | May 1994 | EP |
0600448 | Jun 1994 | EP |
0619122 | Oct 1994 | EP |
0869738 | Oct 1998 | EP |
2042100 | Apr 2009 | EP |
2216068 | Oct 2004 | ES |
2493708 | May 1982 | FR |
2561949 | Oct 1985 | FR |
201800 | Aug 1923 | GB |
2207749 | Feb 1989 | GB |
2252656 | Aug 1992 | GB |
2328745 | Mar 1999 | GB |
S5017781 | Feb 1975 | JP |
S5815842 | Jan 1983 | JP |
S59214432 | Dec 1984 | JP |
S60194934 | Oct 1985 | JP |
S60194935 | Oct 1985 | JP |
S60253197 | Dec 1985 | JP |
S62216199 | Sep 1987 | JP |
S6340538 | Feb 1988 | JP |
S63290547 | Nov 1988 | JP |
H01207038 | Aug 1989 | JP |
H02224647 | Sep 1990 | JP |
H02234747 | Sep 1990 | JP |
H0355040 | Mar 1991 | JP |
H04115677 | Apr 1992 | JP |
H0584296 | Apr 1993 | JP |
H07178169 | Jul 1995 | JP |
H10211198 | Aug 1998 | JP |
2000175900 | Jun 2000 | JP |
2003102724 | Apr 2003 | JP |
2003116843 | Apr 2003 | JP |
2003210456 | Jul 2003 | JP |
2003225234 | Aug 2003 | JP |
2004174008 | Jun 2004 | JP |
2004194721 | Jul 2004 | JP |
2004236849 | Aug 2004 | JP |
2004298550 | Oct 2004 | JP |
2006075600 | Mar 2006 | JP |
2007020829 | Feb 2007 | JP |
2007143880 | Jun 2007 | JP |
2007283103 | Nov 2007 | JP |
8001754 | Sep 1980 | WO |
8500292 | Jan 1985 | WO |
8803815 | Jun 1988 | WO |
9114232 | Sep 1991 | WO |
9114233 | Sep 1991 | WO |
9315658 | Aug 1993 | WO |
9325141 | Dec 1993 | WO |
9415664 | Jul 1994 | WO |
9632975 | Oct 1996 | WO |
9712550 | Apr 1997 | WO |
9820919 | May 1998 | WO |
9924095 | May 1999 | WO |
0061216 | Oct 2000 | WO |
02086821 | Oct 2002 | WO |
03015633 | Feb 2003 | WO |
03046795 | Jun 2003 | WO |
2004012787 | Feb 2004 | WO |
2005004038 | Jan 2005 | WO |
2005016165 | Feb 2005 | WO |
2006042093 | Apr 2006 | WO |
2007143682 | Dec 2007 | WO |
2008060629 | May 2008 | WO |
2010115165 | Oct 2010 | WO |
2011136218 | Nov 2011 | WO |
2011162578 | Dec 2011 | WO |
Entry |
---|
Van Der Wall, E.E., et al., 100 kV versus 120 kV: effective reduction in radiation dose?, Int J Cardiovasc Imaging,2011, pp. 587-591, vol. 27. |
Van Der Wall, E.E., et al., Reduction of radiation dose using 80 kV tube voltage: a feasible strategy?, Int JCardiovasc Imaging, 2011. |
Waaijer, Annet, et al., Circle of Willis at CT Angiography: Dose Reduction and Image Quality—Reducing TubeVoltage and Increasing Tube Current Settings, Radiology, Mar. 2007, pp. 832-839, vol. 242, No. 3. |
Wada, D.R. and Ward, D.S., “Open loop control of multiple drug effects in anesthesia”, IEEE Transactions on Biomedical Engineering, vol. 42, Issue 7, pp. 666-677, 1995. |
Wada D.R. and Ward, D.S., “The hybrid model: a new pharmacokinetic model for computer-controlled infusion pumps”, IEEE Transactions on Biomedical Engineering, 1994, vol. 41, Issue 2, pp. 134-142. |
Wang, Dan, et al., Image quality and dose performance of 80 kV low dose scan protocol in high-pitch spiralcoronary CT angiography: feasibility study, Int J Cardiovasc Imaging, 2011. |
Wintersperger, B., et al., Aorto-iliac multidetector-row CT angiography with low kV settings: improved vesselenhancement and simultaneous reduction of radiation dose, Eur Radiol, 2005, pp. 334-341, vol. 15. |
Yamashita, Y. et al., “Abdominal Helical CT: Evaluation of Optimal Doses of Intravenous Contrast Material—A Prospective Randomized Study,” Radiology, vol. 216, Issue 3, pp. 718-723, Sep. 1, 2000. |
“Extended European Search Report from EP Application No. 18170245”, dated Jul. 25, 2018. |
European Search Report and Opinion dated Nov. 21, 2013 from EP No. 13004902.6. |
International Preliminary Report on Patentability from corresponding PCT Application No. PCT/US2012/037744, dated Nov. 27, 2014, filed May 14, 2012. |
Supplementary European Search Report from dated Jul. 24, 2015 related EP Application No. EP12876629. |
Alessio; et al, “Weight-Based, Low-Dose Pediatric Whole-Body PET/CT Protocols”, J Nucl Med, Oct. 2009, 50, 10, 1570-1578. |
Angelini, P.,“Use of mechanical injectors during percutaneous transluminal coronary angioplasty (PTCA),” Catheterization and Cardiovascular Diagnosis, vol. 16, Issue 3, pp. 193-194, Mar. 1989. |
Angiography, Catheterization and Cardiovascular Diagnosis, vol. 19, pp. 123-128, 1990. |
Awai, K., et al., “Aortic and hepatic enhancement and tumor-to-liver contrast: analysis of the effect of different concentrations of contrast material at multi-detector row helical CT.,” Radiology, vol. 224, Issue 3, pp. 757-763, 2002. |
Awai, K., et al., “Effect of contrast material injection duration and rate on aortic peak time and peak enhancement at dynamic CT involving injection protocol with dose tailored to patient weight,” Radiology, vol. 230, Issue 1, pp. 142-150, 2004. |
Bae, et al.“Aortic and Hepatic Conlrast Medium Enhancement at CT—Part I, Prediction with a Computer Model”, Radiology 1998;207:647-655. |
Bae, K.T., et al., “Multiphasic Injection Method for Uniform Prolonged Vascular Enhancement at CT Angiography: Pharmacokinetic Analysis and Experimental Porcine Model,” Radiology, vol. 216, Issue 3, pp. 872-880 (Sep. 2000). |
Bae, K.T. et al, “Peak Contrast Enhancement in CT and MR Angiography: When Does it Occur and Why? Pharmacokinetic Study in a Porcine Model”, Radiology, vol. 227, Jun. 2003, pp. 809-816. |
Bae, K.T., et al., “Uniform vascular contrast enhancement and reduced contrast medium volume achieved by using exponentially decelerated contrast material injection method,” Radiology, vol. 231, Issue 3, pp. 732-736, 2004. |
Baker, Aaron; et al. “Fluid Mechanics Analysis of a Spring-Loaded Jet Injector.” IEEE Transactions on Biomedical Engineering, vol. 46, No. 2, Feb. 1899. |
Baker, Aaron; et al. “Fluid Mechanics Analysis of a Spring-Loaded Jet Injector.” IEEE Transactions on Biomedical Engineering, vol. 46, No. 2, Feb. 1999. |
Becker, C.R., et al., “Optimal contrast application for cardiac 4-detector-row computed tomography,” Investigative Radiology, vol. 38, Issue 11, pp. 690-694 (Nov. 2003). |
Beitzke, Dietrich, et al., Computed tomography angiography of the carotid arteries at low kV settings: aprospective randomised trial assessing radiation dose and diagnostic confidence, Eur Radiol, 2011. |
Bischoff, Bernhard, et al., Impact of a Reduced Tube Voltage on CT Angiography and RAdiation Dose:Results of the Protection I Study, JACC Cardiovascular Imaging, 2009, pp. 940-948, vol. 2 No. 8. |
Blankstein Ron; et al.,, “Use of 100 kV versus 120 kV in cardiac dual source computed tomography: effect onradiation dose and image quality”, Int J Cardiovasc Imaging, 2011, vol. 27, pp. 579-586. |
Blomley, M.J.K. and Dawson, P., “Bolus Dynamics: Theoretical and Experimental Aspects,” The Brit. J. ofRadiology, vol. 70, No. 832, pp. 351-359 (Apr. 1997). |
Buckley D.L. et al, “Measurement of single kidney function using dynamic contrast-enhanced MRI: comparison of two models in human subjects”, Journal of Magnetic Resonance Imaging, Nov. 2006, vol. 24 Issue 5, pp. 117-123. |
Buckley D.L. et al., “Measurement of single kidney function using dynamic contrast-enhanced MRI: comparison of two models in human subjects”, Journal of Magnetic Resonance Imaging, Nov. 2006, vol. 24, Issue 5, pp. 1117-1123. |
Cademartiri, F. and Luccichenti, G., et al. “Sixteen-row multislice computed tomography: basic concepts, protocols, and enhanced clinical applications,” Seminars in Ultrasound, CT and MRI, vol. 25, Issue 1, pp. 2-16, 2004. |
Cademartiri, F., et al., “Intravenous contrasts material administration at 16-detector row helical CT coronary angiography: test bolus versus bolus-tracking technique,” Radiology, vol. 233, Issue 3, pp. 817-823 (Dec. 2004). |
Coleman, T. and Branch, M.A., “Optimization Toolbox for Use with MATLAB, User's Guide,” The Mathworks Inc., Editor (2007). |
Dardik, H. et al., “Remote Hydraulic Syringe Actuator,” Arch. Surg., vol. 115, Issue 1, Jan. 1980. |
Dardik, H. et al., “Remote hydraulic syringe actuator: its use to avoid radiation exposure during intraoperative arteriography,” Arch. Surg., vol. 115, Issue 1, pp. 105 (Jan. 1980). |
Dawson, P. and Blomley, M., “The value of mathematical modelling in understanding contrast enhancement in CT with particular reference to the detection of hypovascular liver metastases,” European Journal of Radiology, vol. 41, Issue 3, pp. 222-236 (Mar. 2002). |
“Digital Injector for Angiography”, Sias. (Sep. 7, 1993). |
Disposable Low-Cost Catheter Tip Sensor Measures Blood Pressure during Surgery, Sensor (Jul. 1989). |
European Search Report and Supplemental European Search Report from EP05849688 dated Mar. 21, 2014. |
European Search Report dated Feb. 1, 2016 from EP15157102. |
European Search Report dated Feb. 21, 2012 in European Patent Application No. 11001045.1. |
European Search Report dated Jan. 30, 2003 in European Patent Application No. 02020247.9. |
European Search Report dated Jun. 17, 1996 in European Patent Application No. 95202547.6. |
“Extended European Search Report from EP Application No. 11798986”, dated Feb. 24, 2017. |
EZ CHEM Brochure, E-Z-EM, Inc. (Jul. 2007). |
Farrelly, Cormac, et al., Low dose dual-souice CT angiography of the thoracic aorta, Int J Cardiovasc Imaging,2010. DOI 10.1007/s10554-010-9742-9. |
Fisher, M.E. and Teo, K.L., “Optimal insulin infusion resulting from a mathematical model of blood glucose dynamics”, IEEE Transactions on Biomedical Engineering, vol. 36, Issue 4, pp. 479-486, 1989. |
Flegal, K.M., et al., “Prevalence and trends in obesity among US adults,” JAMA, 2002, vol. 288, Issue 14, pp. 1-4, (1999-2000). |
Fleischmann, D. and Hittmair, K., “Mathematical analysis of arterial enhancement and optimization of bolus geometry for CT angiography using the discrete Fourier transform,” Journal of Computer Assisted Tomography, vol. 23, Issue 3, pp. 474-484 (May/Jun. 1999). |
Fleischmann, D., “Contrast Medium Injection Technique,” In: U. Joseph Schoepf: “Multidetector-Row CT of The Thorax,” pp. 47-59 (Jan. 22, 2004). |
Fleischmann, D., “Present and Future Trends in Multiple Detector-Row CT Applications; CT Angiography”, European Radiology, vol. 12, Issue 2, Supplement 2, Jul. 2002, pp. s11-s15. |
Fraioli, Francesco, et al., Low-dose multidetector-row CT angiography of the infra-renal aorta and lowerextremity vessels: image quality and diagnostic accuracy in comparison with standard DSA, Eur Radiol. 2006, pp. 137-146. vol. 16. |
Funama, Yoshinori, et al., Radiation Dose Reduction without Degradation of Low-Contrast Detectability atAbdominal Multisection CT with a Low-Tube Voltage Technique: Phantom Study. Radiology, Dec. 2005, pp. 905-910, vol. 237, No. 3. |
Gardiner, G. A., et al., “Selective Coronary Angiography Using a Power Injector,” AJR Am J Roentgenol., vol. 146, Issue 4, pp. 831-833 (Apr. 1986). |
Garrett, J. S., et al., “Measurement of cardiac output by cine computed tomography,” The American Journal of Cardiology, vol. 56, Issue 10, pp. 657-661, 1985. |
Gembicki, Florian W., “Performance and Sensitivity Optimization: A Vector Index Approach”, Department of Systems Engineering, Case Western Reserve University, Jan. 1974. |
Gembicki, F.W., “Vector Optimization for Control with Performance and Parameter Sensitivity Indices,” PhD Thesis Case Western Reserve University, 1974. |
Gentilini A., et al., “A new paradigm for the closed-loop intraoperative administration of analgesics in humans,” IEEE Transactions on Biomedical Engineering, vol. 49, Issue 4, pp. 289-299 (Apr. 2002). |
Gerlowski L. et al., Physiologically Based Pharmacokinetic Modeling: Principles and Applications, Journal of Pharmaceutical Sciences, pp. 1103-1106, 1124, vol. 72, No. 10. |
“Extended European Search Report from EP Application No. 18248101”, dated Apr. 2, 2019. |
Gerlowski L.E. and Jain R.K., “Physiologically Based Pharmacokinetic Modeling: Principles and Applications,” Journal of Pharmaceutical Sciences, vol. 72, No. 10, pp. 1103-1127 (Oct. 1983). |
Gerlowski L.E. and Jain R.K., “Physiologically Based Pharmacokinetic Modeling: Principles and Applications,” Journal of Pharmaceutical Sciences, vol. 72, pp. 1104-1125, Oct. 1983. |
“Goldfarb, S., “Contrast-induced nephropathy: Risk factors, pathophysiology, and prevention,” Applied Radiology (online supplement), pp. 5-16 (Aug. 2005)”. |
Goss, J. E., et al., “Power injection of contrast media during percutaneous transluminal coronary artery angioplasty,” Catheterization and Cardiovascular Diagnosis, vol. 16, Issue 3, pp. 195-198 (Mar. 1989). |
Gramovish VV., et al. Quantitative estimation of myocardial perfusion in patients with chronic ischaemic heart disease using magnetic resonance imaging, Cardiology, 2004, p. 4-12, No. 89. |
Grant, Katherine, et al., Automated Dose-Optimized Selection of X-ray Tube Voltage White Paper, CARE kVSiemens, 2011. |
Grant, S.C.D. et al., “Reduction of Radiation Exposure to the Cardiologist during Coronary Angiography by the Use of A Remotely Controlled Mechanical Pump for Injection of Contrast Medium,” Catheterization and Cardiovascular Diagnosis, vol. 25, Issue 2, pp. 107-109 (Feb. 1992). |
Guytan, A.C., “Circuitry Physiology: cardiac output and regulation”, Saunders, Philadelphia, p. 173, ISBN: 07216436004, 1973. |
Guytan, A.C., “Circulatory Physiology: Cardiac Output and Regulation”, Saunders, Philadelphia, p. 173, ISBN: 07216436004. |
Hackstein, N. et al., “Glomerular Filtration Rate Measured by Using Triphasic Helical CT with a Two-Point Patlak Plot Technique,” Radiology, vol. 230, Issue 1, pp. 221-226, Jan. 2004. |
Hansen, P.C., et al., “An adaptive pruning algorithm for the discrete L-curve criterion,” Journal of Computational and Applied Mathematics, vol. 198, Issue 2, pp. 9 (Jan. 2007). |
Hansen, P.C, Regularization tools: a MATLAB package for analysis and solution of discrete ill-posed problems, Numerical Algorithms, vol. 6, Issue 1, pp. 35, 1994. |
Hansen, P.C., “The truncated SVD as a method for regularization,” BIT Numerical Mathematics, vol. 27, Issue 4, pp. 534-553 (1987). |
Hansen, P.C., “The truncated SVD as a method for regularization,” BIT Numerical Mathematics, vol. 27, Issue 4, pp. 534-555, 1987. |
Harris, P. and Heath, D. The Human Pulmonary Circulation: Its form and function in Health and Disease, 3rd Edition, Edinburgh, Churchill Livingstone, Appendix I (1986). |
Harris P., H. D. “The Human Pulmonary Circulation,” Edinburgh, Churchill Livingstone, (Appendix I), 1986. |
Hausleiter, Jorg, et al., Radiation Dose Estimates From Cardiac Multislice Computed Tomography in DailyPractice: Impact of Different Scanning Protocols on Effective Dose Estimates, Circulation Journal of the AmericanHeart Association, Mar. 14, 2006, pp. 1304-1310, vol. 113. |
Hayes, M., “Statistical Digital Signal Processing and Modeling”, New York, New York, Wiley and Sons, 1996, pp. 154-177, (Prony's method). |
Heiken; J.P. et al., “Dynamic Contrast-Enhanced CT of the Liver: Comparison of Contrast Medium Injection Rates and Uniphasic and Biphasic Injection Protocols”, Radiology, May 1993, vol. 187, No. 2, pp. 327-331. |
“Infus O.R. Multi-Drug Syringe Pump with Smart Labels,” Bard MedSystems Division Inc., pp. 2693-2696 (2005). |
International Preliminary Examination Report and International Search Report for International Patent Application No. PCT/US00/10842 dated May 22, 2001. |
International Preliminary Report on Patentability and International Search Report for International Patent Application No. PCT/US00/10842 dated May 22, 2001. |
International Preliminary Report on Patentability and Written Opinion and International Search Report for International Patent Application No. PCT/US2007/026194 dated Jun. 30, 2009. |
International Preliminary Report on Patentability and Written Opinion and International Search Report for International Patent Application No. PCT/US2008/067982 dated Jan. 19, 2010. |
International Preliminary Report on Patentability and Written Opinion and International Search Report for International Patent Application No. PCT/US2011/041802 dated Dec. 28, 2012. |
International Preliminary Report on Patentability and Written Opinion for International Patent Application No. PCT/US2007/087765 dated Jun. 30, 2009. |
International Preliminary Report on Patentability and Written Opinion for International Patent Application No. PCT/US2009/047168 dated Jan. 5, 2011. |
International Preliminary Report on Patentability and Wrtitten Opinion dated May 30, 2007 and International Search Report dated Sep. 25, 2006 for PCT App. No. PCT/US2005/042891. |
International Preliminary Report on Patentability for International Application No. PCT/EP2005/007791, International Bureau of WIPO, Geneva, Switzerland, dated Sep. 13, 2006. |
International Preliminary Report on Patentability for International Patent Application No. PCT/US2005/041913 dated May 22, 2007. |
International Preliminary Report on Patentability International Search Report, and Written Opinion for International Patent Application No. PCT/US2007/026194 dated Jun. 30, 2009. |
International Preliminary Report on Patentability International Search Report, and Written Opinion for International Patent Application No. PCT/US2007/087765 dated Jun. 30, 2009. |
International Preliminary Report on Patentability International Search Report, and Written Opinion for International Patent Application No. PCT/US2008/067982 dated Jan. 19, 2010. |
International Preliminary Report on Patentability International Search Report, and Written Opinion for International Patent Application No. PCT/US2009/047168 dated Jan. 5, 2011. |
International Preliminary Report on Patentability, International Search Report and Written Opinion for International Patent Application No. PCT/US2011/041802 dated Dec. 28, 2012. |
International Preliminary Report on Patentability, International Search Report, and Wrtitten Opinion for International Patent Application No. PCT/US2005/042891 dated May 30, 2007. |
International Search Report and the Written Opinion of the International Searching Authority for application No. PCT/US2007/26194 dated Jun. 26, 2008. |
International Search Report and Written Opinion for International Application No. PCT/US05/42891, ISA/US dated Sep. 25, 2006. |
International Search Report and Written Opinion for International Patent Application No. PCT/US2005/041913 dated May 24, 2006. |
International Search Report and Written Opinion from counterpart PCT Application PCT/2008/67982 filed Jun. 24, 2008. |
International Search Report for International Patent Application No. PCT1US20081067982 dated Oct. 8, 2008. |
International Search Report for International Patent Application No. PCT1US2009/047168 dated Aug. 4, 2009. |
International Search Report for International Patent Application No. PCT/US2000/010842 dated Apr. 5, 2001. |
International Search Report for International Patent Application No. PCT/US2000/010842 dated Jan. 23, 2001. |
International Search Report for International Patent Application No. PCT/US2007/026194 dated Jun. 26, 2008. |
International Search Report for International Patent Application No. PCT/US2007/087765 dated Jun. 12, 2008. |
International Search Report for International Patent Application No. PCT/US2011/041802 dated Jan. 5, 2012. |
International Search Report for International Patent Application No. PCT/US96/15680 dated Jan. 28, 1997. |
Ireland, M.A., et al., “Safety and Convenience of a Mechanical Injector Pump for Coronary Angiography,” Catheterization and Cardiovascular Diagnosis, vol. 16, Issue 3, pp. 199-201 (1989). |
ISTAT 1 System Manual, Abbott Laboratories, Rev. Aug. 14, 2006. |
I-STAT Analyzer System, Abbott Laboratories, product data from corporate website (www.abbottpointofcoare.com) Retrieved on Oct. 28, 2009. |
Jacobs, J.R., “Algorithm for optimal linear model-based control with application to pharmacokinetic model-driven drug delivery,” IEEE Transactions on Biomedical Engineering, vol. 37, Issue 1, pp. 107-109 (Jan. 1990). |
Jo, S.H., et al., “Renal Toxicity Evaluation and Comparison Between Visipaque (lodixanol) and Hexabrix (loxaglate) in Patients With Renal Insufficiency Undergoing Coronary Angiography : the RECOVER study: a randomized controlled trial,” Journal of the American College of Cardiology, vol. 48, Issue 5, pp. 924-930 (Sep. 2006). |
Kalafut, J.S., “A New Paradigm for the Personalized Delivery of Iodinated Contrast Material at Cardiothoracic, Computed Tomography Angiography,” Doctoral Dissertation, University of Pittsburgh (2010). |
KalRA, Mannudeep, et al., Clinical Comparison of Standard Dose and 50% Reduced-Dose Abdominal CT: Effecton Image Quality, American Journal of Radiology, Nov. 2002, pp. 1101-1106. vol. 179. |
Kayan, Mustafa, et al., Carotid CT-angiography: Low versus standard volume contrast media and low kVprotocol for 128-slice MDCT, European Journal of Radiology, 2012, pp. 2144-2147, vol. 81. |
Koh, T.S., et al., “Assessment of Perfusion by Dynamic Contrast-Enhanced Imaging Using a Deconvolution ApproachBased on Regression and Singular Value Decomposition,” IEEE Transactions on Medical Imaging, vol. 23, Issue 12,pp. 1532-1542 (Dec. 2004). |
Korosec, F.R., “Basic Principles of Phase-contrast, Time-of-flight, and Contrast-enhanced MR Angiography,” Principles of MR Angiography, pp. 1-10 (1999). |
Korosec, F.R., “Physical Principles of Phase-Contrast, Time-of-Flight, and Contrast-Enhanced MR Angiography,” 41st Annual Meeting of American Association of Physicists in Medicine, Jul. 25-29, 1999. |
Korosec, Frank, “Basic Principles of Phase-contrast, Time-of-flight, and Contrast-enhanced MR Angiography”, 1999. |
Krause, W, “Application of pharmacokinetics to computed tomography: injection rates and schemes: mono-, bi-, or multiphasic?,” Investigative Radiology, vol. 31, Issue 2, pp. 91-100, Feb. 1996. |
Krieger, R. A., “CO2-Power-Assisted Hand-Held Syringe: Better Visualization during Diagnostic and InterventionalAngiography,” Cathet Cardiovasc Diagn., vol. 19, Issue 2, pp. 123-128 (Feb. 1990). |
Leschka, Sebastian, et al., Low kilovoltage cardiac dual-source CT: attenuation, noise, and radiation dose, EurRadiol. 2008, pp. 1809-1817, vol. 18. |
Liebel-Flarsheim company—Angiomat 6000 Digital Injection System Operator's Manual, 600950 Rev 1 (1990); p. 3-6 to 3-8, 4-52 to 4-56. |
Liebel-Flarsheim Company, “Angiomat 6000 Digital Injection System—Operator's Manual”, Document No. 600950, Rev. 1, Jan. 1990. |
Liebel-Flarsheim company,Angiomat 6000 Digital Injection System Operator's Manual, 600950 Rev 1 (1990); pp. 1-1 to 9-6. |
Mahnken, A. H., et al., “Determination of cardiac output with multislice spiral computed tomography: a validation study,” Investigative Radiology, vol. 39, Issue 8, pp. 451-454, Aug. 2004. |
Mahnken, A. H., et al., “Measurement of cardiac output from a test-bolus injection in multislice computed tomography,” European Radiology, vol. 13, Issue 11, pp. 2498-2504, 2003. |
Marin, Daniele, et al., Low-Tube-Voltage, High-Tube-Current Multidetector Abdominal CT: Improved ImageQuality and Decreased Radiation Dose with Adaptive Statistical Iterative Reconstruction algorithm—Initial ClincalExperience, Radiology. Jan. 2010, pp. 145-153, vol. 254, No. 1. |
Mark V/Mark V Plus Injector Operation Manual KMP 805P Rev. B. Medrad, Inc, 1990. |
McClellan, J.H., “Parametric Signal Modeling,” Chapter 1 in Advanced Topics in Signal Processing, Pentice-Hall, Englewood Cliffs, NJ (1988). |
McCullough, P.A., et al., “Contrast-Induced Nephropathy (CIN) Consensus Working Panel: Executive Summary,”Reviews in Cardiovascular Medicine, vol. 7, Issue 4, pp. 177-197 (2006). |
MCT and MCT Plus Injection Systems Operation Manual KMP 810P, Medrad, Inc, 1991. |
Medrad, Mark V/Mark V Plus Injector Operation Manual,KMP 805P Rev. B (1990); pp. 1-18 to 1-28, 3-7 to 3-13, 14-1 to 14-4. |
Nakayama, Yoshiharu, et al., Abdominal CT with Low Tube Voltage: Preliminary Observations about RadiationDose, Contrast Enhancement, Image Quality, and Noise, Radiology, Dec. 2005, pp. 945-951, vol. 237, No. 3. |
Neatpisarnvanit, C. and Boston, J.R., “Estimation of plasma insulin from plasma glucose”, IEEE Transactions on Biomedical Engineering, vol. 49, Issue 11, pp. 1253-1259, 2002. |
Newton, Texas A&M University lecture slides, Statistics 626, 1999. |
O'Connor, Owen, et al., Development of Low-Dose Protocols for Thin-Section CT Assessment of Cystic Fibrosisin Pediatric Patients, Radiology, Dec. 2010, pp. 820-829, vol. 257, No. 3. |
Ostergaard, L., et al., “High resolution measurement of cerebral blood flow using intravascular tracer boluspassages. Part 1: Mathematical approach and statistical analysis,” Magnetic Resonance in Medicine, vol. 36, Issue 5,pp. 715-725 (Nov. 1996). |
Ostergaard, L., et al., “High resolution measurement of cerebral blood flow using intravascular tracer boluspassages. Part II: Experimental comparison and preliminary results,” Magn Reson Med, vol. 36, Issue 5, pp. 726-736(Nov. 1996). |
Parker, K.J., et al., “A Particulate Conlrast Agent With Potential For Ultrasound Imaging of Liver,” Ultrasound in Medicine & Biology, vol. 13, Issue 9, pp. 555-566 (Sep. 1987). |
PHYSBE a classic model of the human circulatory system available from The Math Works, Inc. of Natick, Massachusetts, accessed at www.mathworks.com/products/demos/simulink/physbe, May 31, 2005, pp. 11. |
Regression Analysis Tutorial, Econometrics Laboratory, University of California at Berkeley, Mar. 22-26, 1999, pp. 183-201. |
Renalguard, PLC Medical Systems, Inc. News Release. (May 12, 2008). |
“Renalguard,” PLC Medical Systems, Inc. News Release, pp. 1-3 (May 12, 2008). |
Renalguard, PLC Medical Systems, Inc., product data from corporate website (www.plcmed.com) Retrieved on Oct. 28, 2009. |
Rosen, B.R. et al., “Perfusion Imaging with NMR Contrast Agents,” Magentic Resonance in Medicine, vol. 14, No. 2, pp. 249-265, May 1, 1990. |
Sablayrolles, J-L, “Cardiac CT: Experience from Daily Practice”, Advance CT, a GE Healthcare Publication. Aug. 2004. |
Sablayrolles, J-L, “Cardiac CT: Experience from Daily Practice,” Advance CT, a GE Healthcare Publication, pp. 1-10 (Aug. 2004). |
Stevens, M.A., et al. “A Prospective Randomized Trial of Prevention Measures in Patients at High Risk for Contrast Nephropathy,” J. of the ACC, vol. 33, Issue 2, pp. 403-411, Feb. 1999. |
Suess, Christoph, et al, Dose optimization in pediatric CT: current technology and future innovations. PediatricRadiology, 2002, pp. 729-734. vol. 32. |
Sung, C.K., et al., “Urine Attenuation Ratio: A Mew CT Indicator or Renal Artery Stenosis,” AJR Am J Roentgenol,vol. 187, Issue 2, pp. 532-540 (Aug. 2006). |
Supplementary European Search Report dated Apr. 15, 2011 in European Patent Application No. 07867951.1. |
Supplementary European Search Report dated Aug. 19, 2010 in European Patent Application No. 05852259.0. |
Supplementary European Search Report dated Dec. 9, 1998 in European Patent Application No. 96936079.0. |
Supplementary European Search Report dated Jul. 23, 2013 in European Patent Application No. 08771789.8. |
The European Search Report from EP14174725.3 dated May 8, 2015. |
“The Solution for Your IV Formulas”, Valley Lab. Inc., E-39-15, 3399, 3400, 2646. |
“Supplementary Partial European Search Report in EP Application No. EP11798986”, dated Nov. 10, 2016. |
Kai; Gao, “Study on the Correlation between X-ray Image Quality and Radiation Dose and Contrast Agent Concentration”, May 1, 2005. |
Number | Date | Country | |
---|---|---|---|
20180242940 A1 | Aug 2018 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 14401330 | US | |
Child | 15959695 | US |