The present invention generally relates to the field of magnetic resonance (MR) imaging. In particular, the present invention is directed to a moving-target MR imaging system and method.
Magnetic resonance has been used for many years as an imaging technique. One area that has benefited from MR imaging is medical imaging. MR imaging provides a technique to the medical field that does not involve harmful ionizing radiation. Instead, MR imaging involves applying appropriate magnetic fields to an object to be imaged. Radio frequency (RF) energy is then provided to the object. Spatial variations in the phase and frequency of the RF energy that is absorbed and emitted by the imaged object is used to produce an image. Typically, it is the absorption and re-emission of the RF energy by hydrogen nuclei (1H) in the object being imaged that is observed. However, different nuclei can also be observed. The resonant frequency of this absorption and re-emission is given by the relationship: F=γ B0, where F=resonant frequency typically given in MegaHertz (MHz), B0=magnetic field typically given in Tesla (T), γ=gyromagnetic ratio=42.577 MHz/T for 1H.
MR imaging generates images using time-dependent variations in emission intensity as a function of frequency. Frequency is also used to encode spatial address information to the many spatial segments (volume elements) of an object being imaged. Variations in local magnetic fields are purposely created to give a discrete and slightly different magnetic field (and hence different resonant frequency) for each volume element in the field of view. Variations in the local magnetic field caused by variations in molecular structure are typically ignored. However, shifts due to differences in the molecular structure of water and fat are sometimes accounted for in MR. Examples of applied magnetic fields include about 0.5 T to about 1.5 T when provided by an electromagnetic structure using a superconducting winding, and about 0.2 T to about 0.5 T when provided by a permanent magnet structure.
Each scan of a volume can take as little as a fraction of a second to complete. Random noise can be identified and removed from scans by performing repetitive scans, usually taken over a multiple minute period of time. During the repetitive scans the object is required to remain stationary. Algorithms used by MR imaging systems assume that the target object remains stationary and that no spatial movement of the target's volume elements has occurred between the repetitive scans. This stationary requirement creates complications when the object is unable, or unwilling, to remain stationary during the repetitive scans. Examples of such objects include, but are not limited to, a child; an infant; a patient with diminished ability to follow directions; a patient with tremors, such as occur with Parkinson's Disease; a trauma patient where movement is likely; a patient where sedation is not possible; and an animal. To bring such objects into compliance with the no-movement assumption, sedation is often used. However, sedation limits the ease with which observations can be scheduled and carries the risk of sedation-related complications.
Various “fast-scan” MRI techniques under development address minor movements and motion artifacts resulting from physiological processes (i.e., cardiac and respiratory movements). These techniques do not allow for significant gross movement (i.e., the “wiggle factor”) among patients.
Finding a sedation-free MR solution is particularly important in pediatric medical imaging where MR serves as a safe alternative to x-ray computer tomography (CT) and other ionizing radiation imaging techniques. Ionizing radiation, such as x-ray and gamma radiation, has been used for years in imaging systems, particularly in medical imaging. Exposure to ionizing radiation has many documented harmful effects, one of the most serious of which is the induction of fatal cancers. All human suspects are susceptible to ionizing radiation in the doses provided by typical imaging technology. However, children and infants are reported to be at approximately ten times greater risk than an average middle-aged adult. This increased susceptibility to the negative effects of ionizing radiation is due in part to the developing and dividing cells of a child's body, which are more susceptible to radiation-induced neoplastic transformation than the cells of an adult. Additionally, children have a greater lifespan remaining than a middle-aged adult for the genotoxic effects of the radiation to manifest. Conventional x-ray CT technology doses have been found to be similar to the doses that were received by World War II Japanese atomic bomb survivors, a group in whom excess cancer mortality has been observed. Using data from such survivors, Brenner et al. has predicted that the use of conventional x-ray CT technology on infants and children may cause the eventual cancer-related death of 1 out of every 1000 children examined using such CT technology. See Brenner et al., “Estimated risks of radiation-induced fatal cancer from pediatric CT,” AJR Am J Roentgenol. 2001;176:289-296. This rate is considered by many to be unacceptably high. As an example, of the approximately 12 million infants and children that have been imaged by CT in the United States since the observations by Brenner et al. in 2001, approximately 12,000 are expected to die later in life from cancer initiated by the CT procedure.
New MR imaging systems and methods are needed to allow for target object movement during imaging.
In one embodiment, the present invention provides a system for imaging a target volume element using a magnetic field defined by at least one magnet volume element. Each of the at least one magnet volume elements has a corresponding magnet volume signal including content data representing an object positioned in the at least one magnet volume element. The system includes a target volume location device for providing a first signal that varies with changes in location of the target volume element with respect to the at least one magnet volume element. The system also includes a moving-target algorithm for using the location to correlate the target volume element to a corresponding content data.
In another embodiment, the present invention provides an MR imaging system for imaging a target volume. The system includes a first device for MR imaging. The first device generates a magnetic field having one or more magnet volume elements. The first device being for determining a content data representing a portion of the target volume positioned in each of the one or more magnet volume elements. The system also includes a target volume location device in communication with the first device, the target volume location device being for determining a location of a target volume element of the target volume and to communicate the location to the first device.
In yet another embodiment, the present invention provides an imaging system for imaging a target volume element using a magnet device that produces a magnetic signal defined by at least one magnet volume element, the at least one magnet volume element having an associated magnet volume signal. The system includes a target volume location device that provides a first signal which varies with changes in location of the target volume element with respect to the at least one magnet volume element. The system also includes a controller operatively configured to use the first signal to correlate the magnet volume signal with the target volume element to produce an MR output signal.
In still another embodiment, the present invention provides an imaging system for producing an image of a target volume element. The system includes an MR imaging device for providing a plurality of scans of a magnetic field to the target volume element, the magnetic field defined by at least one magnet volume element, the at least one magnet volume element having an associated magnet volume signal for each of the plurality of scans. The system also includes a moving-target algorithm for using variation in the magnet volume signal over the plurality of scans to determine a location of the target volume element, the moving-target algorithm using the location to match the target volume element to a corresponding magnet volume signal to produce an MR output.
In still yet another embodiment, the present invention provides a method of producing an MR image. The method includes (a) producing a magnetic field defined by at least one magnet volume element; (b) providing a target volume element; (c) measuring a location of the target volume element relative to the at least one magnet volume element; (d) generating positional information about the location; (e) determining a magnet volume signal including content data representative of the at least one magnet volume elements; (f) correlating the magnet volume signal to the target volume element using the positional information; and (g) producing an MR image.
In a further embodiment, the present invention provides a method of producing an MR image. The method includes (a) producing a magnetic field defined by at least one magnet volume element; (b) providing a target volume element; (c) measuring a plurality of magnet volume signals, the plurality of magnet volume signals being measured over a plurality of scans of an RF element, each of the plurality of magnet volume signals including content data representative of the at least one magnet volume elements; (d) using variations in the content data across the plurality of magnet volume signals to determine positional information representing a location of the target volume element; (e) correlating the magnet volume signal to the target volume element using the positional information; and (f) producing an MR image.
For the purpose of illustrating the invention, the drawings show a form of the invention that is presently preferred. However, it should be understood that the present invention is not limited to the precise arrangements and instrumentalities shown in the drawings, wherein:
The present invention provides a system and method that allows and/or corrects for motion by a target object during imaging by using a motion sensing device to track the movement of the target object with respect to the magnetic field. The location information can be used to correct for the movement and produce a more accurate image.
RF element 120 is in communication with an RF receiving element 130 and an RF source 135. In one example, RF element 120 may be a single transmit and receive device and/or coil. In another example, RF element 120 may include a separate transmit device and/or coil and a separate receive device and/or coil. Gradient-source element 125, RF receiver 130, and RF source 135 are in communication with a general computing device 140. General computing device 140 may be used to control gradient-source element 125, RF source 135, and other parts of the system. General computing device 140 may be a single general computing device or may include a plurality of general computing devices.
Constant-field magnet 110 produces a constant magnetic field, Bo, for polarizing the nuclei (typically 1H) of object 145 in the field of view of imaging compartment 105. Gradient-source element 125 drives gradient-field magnet 115 to produce gradients in Bo.
RF source 135 drives RF element 120 to provide an RF energy to the nuclei of object 145. RF receiver 130 receives signals from RF element 120 representing re-emitted energy from the nuclei of object 145 and communicates information related to those signals to general computing device 140. The shape, duration, and magnitude of an RF signal may be controlled by a controller, such as general computing device 140.
System 100 also includes a target volume location sensor 150 for sensing the position of object 145. Target volume location sensor 150 may include any motion sensing device that can detect the position of a target volume element of object 145 within the field of view of system 100. Various location sensing devices are known to those of ordinary skill. Example location sensing devices include, but are not limited to, an optical sensor, a sonic sensor, an ultra-sonic sensor, an electromagnetic tracking device, an MR device, and any combinations thereof. Target volume location sensor 150 is in communication with general computing device 140. Target volume location sensor 150 provides general computing device 140 with information related to the position of object 145. General computing device 140 uses this information and the information related to the RF signals received from RF receiver 130 to produce an image output that accounts for motion of object 145. General computing device 140 may utilize a moving-target algorithm 155 to produce the image.
General computing device 140 is in communication with an input/output console 160 and an output device 165. A user of system 100 may utilize input/output console 160 to control the various components of system 100 and to view an image produced. The image may also be provided to output device 165. Example output devices 165 include, but are not limited to, a printer; a display device; a storage device, such as a hard-drive, flash memory, or optical disk; and any combinations thereof.
Magnet volume 210 would be subjected to constant-field, Bo. A gradient field may be produced that modifies the local magnetic field of each of the magnet volume elements. For example, magnet volume element 220 may have a local magnetic field, Ba, and magnet volume element 230 may have a local magnetic field, Bb.
In one aspect, content data related to a particular magnet volume element, such as magnet volume element 220, may be referred to as a voxel. A voxel may be reconstructed by a controller to represent one or more pixels of an MR image.
At this same point in time, target volume element 270 may align with magnet volume element 230 and be subjected to a local magnetic field, Bb. The magnet volume signal for target volume element 270, in this case, would include information related to the contents of target volume element 270 and unique address information for magnet volume element 220. A controller, such as general computing device 140 of
In this example, if target volume 240 were to move in relation to magnet volume element 210 (assuming no change in the gradient field), the information from subsequent scans would not match with the previous unique address information for the magnet volume elements. For example, target volume element 260 may move in position from magnet volume element 220 to magnet volume element 230. In doing so, target volume element 260 is now subjected to a different local magnetic field, Bb, than it was during the previous scan when it was subjected to Ba and, thus, has a different unique address information than in the previous scan. Table 1 summarizes the impact this movement has on the information used to produce an image.
Table 1 shows that at the time of a first scan, t1, target volume element 260 (TVE1) is positioned in the space of magnet volume element 220 (MVE1) and is subjected to Ba. At the same time, as discussed above, target volume element 270 (TVE2) is positioned in the space of magnet volume element 230 (MVE2) and is subjected to Bb. A first magnet volume signal corresponding to MVE1 would include information about the content of TVE1. A second magnet volume signal corresponding to MVE2 would include information about the content of TVE2. Upon a second scan at t2, TVE, has physically moved to MVE2 and is now subjected to Bb. The first magnet volume signal for this scan has no information related to the object. The second magnet volume signal for T2 now includes information about the content of TVE1. If a controller attempts to combine information from the two second magnet volume signals, the resulting image signal will be inaccurate as attempting to display TVE2 and TVE1 in the same location.
A moving-target algorithm, such as moving-target algorithm 345, includes any algorithm that can utilize the location information of the position of an object, as provided, e.g., by target volume location device 325, to correlate the proper target volume element to the correct magnet volume element. One of ordinary skill will recognize a variety of ways to construct an algorithm to use the location information in this manner. One example of a moving-target algorithm is a target-volume-tracking algorithm. A target-volume-tracking-algorithm uses location information for one or more target volume elements of an object to establish a mathematical relationship between magnet volume elements and target volume elements to allow reconstruction of an image related to the target volume elements. Another example of a moving-target algorithm is a gradient-field adjusting algorithm. A gradient-field-adjusting algorithm uses location information for one or more target volume elements of an object to adjust drive currents of a gradient-field system to provide the correct unique local field address (magnetic field) to the appropriate magnet volume element as the target volume element moves from one magnet volume element to another.
With continuing reference to
In still another embodiment, a controller, such as controller 435 can include both a gradient-field-adjusting algorithm and a target-volume-tracking algorithm. In such an embodiment, the controller can utilize location information from a target volume location device to modify the gradient field as in the above embodiment. The controller can also use the location information to further correlate content information in received data signals by establishing the mathematical relationship between one or more magnet volume elements and one or more target volume elements. This can further ensure that the appropriate content data for the correct target volume element is assigned to a particular magnet volume element prior to image creation.
In yet a further embodiment of the present invention, an existing MR system may be modified to allow for movement by an object to be imaged. In one example, an existing MR system may be retrofitted with a target volume location sensor, e.g., sensor 150, according to the present invention. The target volume location sensor may be connected to an existing controller (or new controller), which is provided an appropriate moving-target algorithm.
Although the invention has been described and illustrated with respect to exemplary embodiments thereof, it should be understood by those skilled in the art that the foregoing and various other changes, omissions and additions may be made therein and thereto, without parting from the spirit and scope of the present invention.
This application claims the benefit of priority of U.S. Provisional Patent Application Ser. No. 60/583,500, filed Jun. 28, 2004, and titled “Moving-Target System for MR”, which is incorporated by reference herein in its entirety.
Number | Date | Country | |
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60583500 | Jun 2004 | US |