This invention concerns a system for providing an image acquisition trigger signal compensated for signal processing time delay based on variation of timing of a heart electrical waveform relative to the trigger signal.
ECG signals are utilized for triggering image scanning and data acquisition, such as of X-ray or ultrasound images and avoiding cardiac chamber tissue contraction distortion and other noise. However, known systems exhibit imprecision in image acquisition timing due to noise in trigger generation, clock jitter and analogue to digital conversion timing variation, causing inaccuracy in detection of a P wave, R wave and T wave in an ECG signal. Stable and accurate image scanning is desirable for analysis of cardiac function to detect cardiac diseases. Known imaging systems, such as X-ray and ultrasound imaging systems, for example, typically capture images randomly or with acquisition triggered in response to a time parameter. Known imaging systems use ECG signal synchronization to reduce patient artifacts and biological noise (heart beat and related patient movement). Image acquisition trigger signals in known systems are sensitive to jitter as well as phase and latency distortion from multiple sources. These sources include noise due to electrical surgery including energy discharge noise in ablation procedures and heart rate control device noise as well as pipeline transmission jitter due to a hardware transmission pathway. Further, the trigger error varies from system to system.
Known medical devices use different systems to trigger image data acquisition such as by using R wave detection, P wave detection or T wave detection. However such systems may have image acquisition trigger delay of 10-100 ms or jitter relative to cardiac activity or jitter due to analog to digital conversion, for example. Known signal detection and gating signal generation typically uses uniform sampling at a particular sampling rate, such as 2000 Hz, for sampling different portions of ECG signals, such as a P wave portion or QRS portion. Obtaining a high accuracy gating signal with low jitter based on uniform sampling may require a relatively high sampling rate for a signal, which results in over-sampling in portions of a signal and leads to increased timing jitter and uncertainty in a data transmission pipeline. A system according to invention principles addresses these deficiencies and related problems.
A system estimates and compensates for ECG trigger pulse timing jitter by using adaptive, controllable timing thresholds in ECG segment signal detection for synchronization as well as adaptive statistical calculation and correlation in closed-loop ECG image acquisition trigger signal generation. A system provides an image acquisition trigger signal compensated for signal processing time delay. An interface receives waveform signal data representing electrical activity of a patient heart over at least one heart beat cycle. A detector detects a particular point associated with a particular signal portion within successive heart beat cycles of the signal data. A first time variation detector provides a first timing adjustment signal in response to detected change in time of occurrence of the detected particular point. A second time variation detector provides a second timing adjustment signal in response to comparison of relative timing of the trigger signal and the detected particular point. An output processor generates the trigger signal in response to the detected particular point and the first timing adjustment signal and the second timing adjustment signal.
A system estimates and compensates for image acquisition ECG trigger pulse timing jitter including P wave, R wave and T wave detection jitter and time stamp uncertainty, by adaptive statistical correlation. Closed-loop ECG triggering compensation is used in analogue signal and digital signal processing to provide accurate image acquisition gating pulse signals. The system employs adaptive, controllable timing thresholds in ECG segment signal detection and synchronization. Dynamic adaptive threshold based ECG segment waveform analysis and estimation is used to improve image quality particularly in a fast scanning system performing non-rigid tissue image acquisition. The ECG trigger signal jitter compensation provides non-uniform image acquisition trigger signals (for cardiac activity scanning) in response to programmable cardiac function selection and sequential triggering signal generation.
The system automatically adaptively and dynamically compensates for signal generation and transmission jitter and latency to improve accuracy of time stamps associated with acquired images. The system detects portions of an ECG waveform for image acquisition gating and synchronization signal generation reducing effect of digitization time jitter, data transmission pipeline time jitter and processing jitter by generating jitter and latency compensated image acquisition trigger signals.
System and imaging control unit 34 controls operation of one or more imaging devices 25 for performing image acquisition of patient anatomy in response to user command. Imaging devices 25 may comprise a mono-plane or biplane X-ray imaging system. The units of system 10 intercommunicate via a network. At least one repository 17 stores X-ray medical images and studies for patients in DICOM compatible (or other) data format and vital sign signal data. A medical image study individually includes multiple image series of a patient anatomical portion which in turn individually include multiple images.
Processing device 30 buffers, filters and digitizes ECG and ICEG data from patient 11. Device 30 detects P wave, Q wave, R wave, T wave, S wave and U wave segments of processed ECG and ICEG data by detecting peaks within the received data using a known peak detector and by segmenting the processed ECG and ICEG data into windows where the waves are expected and by identifying the peaks within the windows. The start point of a wave, for example, is identified by a variety of known different methods. In one method a wave start point comprises where the signal crosses a baseline of the signal (in a predetermined wave window, for example). Alternatively, a wave start point may comprise a peak or valley of the signal. The baseline of the signal may comprise a zero voltage line if a static (DC) voltage signal component is filtered out from the signal. Device 30 includes a timing detector for determining time duration between the signal peaks and valleys. The time detector uses a clock counter for counting a clock between the peak and valley points and the counting is initiated and terminated in response to the detected peak and valley characteristics.
Triggers signals (including peak time of P wave, Q wave, R wave, S wave, T wave) are utilized by units 30, 33 and 39 to control and manipulate image acquisition by system 25. The accuracy of trigger pulse generation is affected by factors including, a) signal portion (such as peak or valley) detection and jitter; b) the trigger signal delay and jitter relative to corresponding heart activity due to circuitry and c) gating signal transmission and data pipeline distortion and jitter. The following function summarizes these error sources:
Gating_signal_jitter=Gating_detection−creation_jitter⊕Circuitry_uncertainty_jitter⊕data_pipeline_jitter
In which, Gating_detection−creation_jitter is the jitter and distortion from signal portion detection; Circuitry_uncertainty_jitter is analogue and digital circuitry electronic delay and uncertainty, which includes timing jitter from Analog to Digital Conversion (ADC), filtering, and other hardware sources; data_pipeline_jitter represents data jitter and timing uncertainty from data transmission, such as Ethernet, RS232, Serial transmission.
Assuming the timing jitter distribution is a normal distribution and the jitter of the three main sources is: ±α, ±β, and ±γ, the gating signal jitter of a signal provided to an image acquisition system is,
In which T1, T2, T3 represent timing of a desired point within a waveform for image acquisition Tdelay is average time delay between a patient trigger signal provided to an image acquisition system. Overall, the maximum timing jitter and uncertainty are α+β+γ, for which different kinds of compensation are provided. The sources ±α, ±β, and ±γ may be time varying and differ from case to case. Hence, an adaptive dynamic compensation system is provided.
System 10 integrates both a patient real time signal monitoring and recording system 33 and image acquisition system 25. Imaging system 25 synchronizes image acquisition using a signal point or signal portion (such as R wave, T wave and P wave) to generate gating signals. Output processor 39 adaptively generates uniform and non-uniform gating trigger signals compensating for circuit time delay and jitter and uses patient monitoring system 33 and device 30 signals in response to a clinical application type. Output processor 39 uses a feedback signal from imaging system 25 indicating circuit time delay and jitter in gating signal control and generation.
Device 30 employs a method to determine a heart signal waveform portion or point timed from a previous portion in real time. Device 30 acquires signal data comprising a previous heart cycle or multiple previous heart cycles (the number of cycles depends on noise level as the better the signal quality, the less heart beats are needed). Device 30 determines parameters from heart cycle signal data, including waveform portion or point peak maximum amplitude, and amplitude of 90% maximum, 80% maximum, . . . , 20%, 10% maximum on both sides near a region of interest (ROI) portion of the heart cycle signal data waveforms.
The system in one embodiment employs the function,
T
ROI
=T
10%+(α1·ΔTL-10%+β1·ΔTR-10%)
Where TROI is a time stamp for a current heart cycle (cycle N+1), Rwave peak is determined based on time stamp of a time point T10% representing a 10% amplitude level of the R wave of cycle N+1 plus an adjustment derived using the prior heart cycle N. L and R represent left side and right side (relative to R peak) time duration. Device 30 uses previous heart cycles and cycles (such N-1, N) and cycle N+1 so R wave peak position may be estimated one cycle earlier, which facilitates compensation of jitter.
T10% (503)=120 second (a recording time (time stamp), from a beginning of data acquisition).
α1·ΔTL-10%+β1·ΔTR-10% is an estimate of R wave 505 duration from 10% MAX level 507 to the R wave 505 peak of previous cycle (N), α and β here are 0.6 and 0.4 since a Left rising edge is faster than the right rising edge. In cycle N, R wave duration, ΔTL-10% is 120 Ms and ΔTR-10% is 70 ms so the calculation α1·ΔTL-10%+β1·ΔTR-10% is 0.6×120+0.4×70=100 ms and time ROI from 10% MAX to R wave peak is 100 ms plus the time reference from time of start of recording data (which is 120 second), a new R wave peak time is predicted as 120.1 seconds.
System 10 uses amplitudes at the, 10%. 20% . . . 90% levels to categorize a whole R wave into 10 levels by amplitude and determines the time of occurrence of each corresponding level (T). In addition, system 10 employs cycle N−1 to estimate time of occurrence of an R wave peak, for example, of cycle N+1, 2 cycles later using,
T
ROI=2TRR+T10%+(α1·ΔTL-10%+β1·ΔTR-10%)
where T10% is the time of 10% MAX amplitude level in the cycle N−1, α1·ΔTL-10%+β1·ΔTR-10% is the R wave relative time position to T10% in cycle N−1; 2TRR is a two cycle time length.
If a requirement is 1-2 ms max jitter, a 10% threshold is enough for calculating a time stamp of a waveform portion or point of a current heart signal (a time stamp of a waveform portion or point is also used to determine image acquisition trigger pulse timing),
T
ROI
=T
10%+(α1·ΔTL-10%+β1·ΔTR-10%)
where α1+β1=1, α and β are weight coefficients for determination of a time stamp of a waveform point. In a clinical application example, α=0.55 and β=0.45, because a depolarization procedure is faster than repolarization, however a user is able to adjust weight coefficients based on type of clinical application.
If a requirement is 200-500 uS maximum jitter, a 10% threshold is sufficient for calculating a time stamp of a waveform portion or point and
T
ROI
=T
50%+(α5·ΔTL-50%+β5·ΔTR-50%)
where α5 +β5=1. A numerical sequence of weight coefficients is user definable and optimal timing of jitter may require a high data sample rate, such as 5-10K Hz. If a signal portion has distortion, or a signal portion is detected in the presence of noise, more amplitude thresholds may be employed and combined to determine a waveform portion time stamp or point time stamp from data from previous heart cycles,
where threshold_Range represents how many thresholds are employed in a calculation and corresponding weight coefficients are used for selected thresholds.
Returning to
Prediction_time=TROI+ΔTHRV+θ
Data transmission and image scanning response time calculation unit 905 compares delay between the two pulses (original gating pulse 903 and digital pulse 901 from image system 909 used for triggering image acquisition) and generates a compensation time duration in response to the comparison. Latency and jitter compensation unit 907 adjusts trigger pulse 903 using the compensation time duration compensating for data pipeline and image system response delay determined by unit 905 and provides adjusted image acquisition trigger pulse 912 to imaging system control unit 909.
In step 961, device 30 selects a particular point of a particular signal to process for jitter compensation. In step 968, device 30 detects and compensates for jitter in segmentation, specifically in detection of a particular signal segment and point. In step 970 device 30 detects processing hardware jitter and generates a compensation timing signal compensating for segmentation and processing hardware jitter. In step 976 device 30 and unit 39 uses a feedback image acquisition trigger signal for adjusting the generated compensation timing signal for transmission pipeline and image system response jitter and latency. The process is repeated from step 961 for continuous signal jitter compensation of multiple different signals. In step 973 device 30 updates settings of the jitter compensation system used in signal segmentation and jitter detection and timing signal generation and adjusts steps 961, 968, 970 and 976.
A second time variation detector in detectors 20 in step 459 provides a second timing adjustment in response to comparison of relative timing of the trigger signal and the detected particular point in at least one of the successive heart beat cycles. The time adjustment associated with the second timing adjustment signal compensates for jitter occurring in circuitry hardware. A third time variation detector in detectors 20 in step 461 provides a third timing adjustment signal in response to comparison of relative timing of the trigger signal and a timing signal associated with time of acquisition of an image received from an image acquisition system. The time adjustment associated with the third timing adjustment signal compensates for delay between relative timing of the trigger signal and a timing signal associated with time of acquisition of an image.
Output processor 39 in step 464 generates the trigger signal in response to the first timing adjustment signal, the second timing adjustment signal and the third timing adjustment signal. In one embodiment, output processor 39 generates the trigger signal by summing time adjustments associated with the first timing adjustment signal, the second timing adjustment signal and the third timing adjustment signal to provide a predicted time of acquisition of an image within a heart cycle. The process of
A processor as used herein is a device for executing machine-readable instructions stored on a computer readable medium, for performing tasks and may comprise any one or combination of, hardware and firmware. A processor may also comprise memory storing machine-readable instructions executable for performing tasks. A processor acts upon information by manipulating, analyzing, modifying, converting or transmitting information for use by an executable procedure or an information device, and/or by routing the information to an output device. A processor may use or comprise the capabilities of a computer, controller or microprocessor, for example, and is conditioned using executable instructions to perform special purpose functions not performed by a general purpose computer. A processor may be coupled (electrically and/or as comprising executable components) with any other processor enabling interaction and/or communication there-between. Computer program instructions may be loaded onto a computer, including without limitation a general purpose computer or special purpose computer, or other programmable processing apparatus to produce a machine, such that the computer program instructions which execute on the computer or other programmable processing apparatus create means for implementing the functions specified in the block(s) of the flowchart(s). A user interface processor or generator is a known element comprising electronic circuitry or software or a combination of both for generating display elements or portions thereof. A user interface comprises one or more display elements enabling user interaction with a processor or other device.
An executable application, as used herein, comprises code or machine readable instructions for conditioning the processor to implement predetermined functions, such as those of an operating system, a context data acquisition system or other information processing system, for example, in response to user command or input. An executable procedure is a segment of code or machine readable instruction, sub-routine, or other distinct section of code or portion of an executable application for performing one or more particular processes. These processes may include receiving input data and/or parameters, performing operations on received input data and/or performing functions in response to received input parameters, and providing resulting output data and/or parameters. A graphical user interface (GUI), as used herein, comprises one or more display elements, generated by a display processor and enabling user interaction with a processor or other device and associated data acquisition and processing functions.
The UI also includes an executable procedure or executable application. The executable procedure or executable application conditions the display processor to generate signals representing the UI display images. These signals are supplied to a display device which displays the elements for viewing by the user. The executable procedure or executable application further receives signals from user input devices, such as a keyboard, mouse, light pen, touch screen or any other means allowing a user to provide data to a processor. The processor, under control of an executable procedure or executable application, manipulates the UI display elements in response to signals received from the input devices. In this way, the user interacts with the display elements using the input devices, enabling user interaction with the processor or other device. The functions and process steps herein may be performed automatically or wholly or partially in response to user command. An activity (including a step) performed automatically is performed in response to executable instruction or device operation without user direct initiation of the activity. A histogram of an image is a graph that plots the number of pixels (on the y-axis herein) in the image having a specific intensity value (on the x-axis herein) against the range of available intensity values. The resultant curve is useful in evaluating image content and can be used to process the image for improved display (e.g. enhancing contrast).
The system and processes of
This is a non-provisional application of provisional application Ser. No. 61/649,992 filed May 22, 2012, by H. Zhang et al.
Number | Date | Country | |
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61649992 | May 2012 | US |