Method and system for determining a period of interest using multiple inputs
View Patent ↗One or more techniques are provided for identifying a period of minimal motion for an organ of interest, such as the heart or lungs. Motion data is acquired for the organ of interest and for one or more proximate organs using sensor-based and/or image-based techniques. The sensor-based techniques may include electrical and non-electrical techniques. The image-based techniques may include both pre-acquisition and acquisition image data. The motion data for the organ of interest and proximate organs may be used to generate a set of multi-input motion data that may be processed to identify desired periods, such as periods of minimal motion, within the overall motion of the organ of interest.
1. A method for identifying one or more periods of minimal motion, comprising the steps of:
acquiring at least one set of electrical data representative of cardiac motion, at least one set of non-electrical data representative of cardiac motion, and one or more sets of data representative of respiratory organ motion;
generating a set of multi-input motion data comprising the set of electrical data representative of cardiac motion, the set non-electrical data representative of cardiac motion, and the one or more sets of motion data representative of respiratory organ motion; and
extracting one or more periods of minimal motion for one of the heart and the respiratory organ from the set of multi-input motion data.
2. The method, as recited in claim 1 , wherein the one or more sets of data representative of respiratory motion comprise at least one of a set of electrical data representative of respiratory motion and a set of non-electrical data representative of respiratory motion.
3. The method, as recited in claim 1 , wherein the set of multi-input motion data further comprises one or more sets of motion data for one or more proximate organs.
4. The method, as recited in claim 1 , wherein the step of acquiring comprises measuring a set of electrical data representative of cardiac motion using electrical sensors.
5. The method, as recited in claim 1 , wherein the step of acquiring comprises measuring a set of non-electrical data representative of cardiac motion using mechanical sensors.
6. The method, as recited in claim 1 , wherein the step of acquiring comprises measuring a set of electrical data representative of respiratory motion using electrical sensors.
7. The method, as recited in claim 1 , wherein the step of acquiring comprises measuring a set of non-electrical data representative of respiratory motion using mechanical sensors.
8. The method, as recited in claim 1 , wherein the step of acquiring comprises measuring one of cardiac motion and respiratory motion from one or more images.
9. The method, as recited in claim 8 , wherein the one or more images are derived from one of pre-acquisition image data, unreconstructed acquisition image data, and reconstructed acquisition image data.
10. The method as recited in claim 1 , further comprising the step of determining a set of motion compensation factors from the one or more periods of minimal motion.
11. The method as recited in claim 1 , further comprising the step of determining two or more gating points from the one or more periods of minimal motion.
12. The method as recited in claim 1 , further comprising the step of validating the one or more periods of minimal motion.
13. A computer program, provided on one or more computer readable media, for identifying one or more periods of minimal motion, comprising:
a routine for acquiring at least one set of electrical data representative of cardiac motion, at least one set of non-electrical data representative of cardiac motion, and one or more sets of motion data representative of respiratory organ motion;
a routine for generating a set of multi-input motion data comprising the set of electrical data representative of cardiac motion, the set non-electrical data representative of cardiac motion, and the one or more sets of data representative of respiratory organ motion; and
a routine for extracting one or more periods of minimal motion for one of the heart and the respiratory organ from the set of multi-input motion data.
14. The computer program, as recited in claim 13 , wherein the one or more sets of data representative of respiratory motion comprise at least one of a set of electrical data representative of respiratory motion and a set of non-electrical data representative of respiratory motion.
15. The computer program, as recited in claim 13 , wherein the routine for generating the set of multi-input motion data includes one or more sets of motion data for one or more proximate organs in the set of multi-input motion data.
16. The computer program, as recited in claim 13 , wherein the routine for acquiring measures a set of electrical data representative of cardiac motion using electrical sensors.
17. The computer program, as recited in claim 13 , wherein the routine for acquiring measures a set of non-electrical data representative of cardiac motion using mechanical sensors.
18. The computer program, as recited in claim 13 , wherein the routine for acquiring measures a set of electrical data representative of respiratory motion using electrical sensors.
19. The computer program, as recited in claim 13 , wherein the routine for acquiring measures a set of non-electrical data representative of respiratory motion using mechanical sensors.
20. The computer program, as recited in claim 13 , wherein the routine for acquiring measures one of cardiac motion and respiratory motion from one or more images.
21. The computer program, as recited in claim 20 , wherein the one or more images are derived from one of pre-acquisition image data, unreconstructed acquisition image data, and reconstructed acquisition image data.
22. The computer program, as recited in claim 13 , comprising a routine for determining a set of motion compensation factors from the one or more periods of minimal motion.
23. The computer program, as recited in claim 13 , comprising a routine for determining two or more gating points from the one or more periods of minimal motion.
24. The computer program, as recited in claim 13 , comprising a routine for validating the one or more periods of minimal motion.
25. An imaging system, comprising:
means for acquiring at least one set of electrical data representative of cardiac motion, at least one set of non-electrical data representative of cardiac motion, and one or more sets of data representative of respiratory organ motion;
means for generating a set of multi-input motion data comprising the set of electrical data representative of cardiac motion, the set non-electrical data representative of cardiac motion, the one or more sets of motion data representative of respiratory organ motion; and
means for extracting one or more periods of minimal motion for one of the heart and the respiratory organ from the set of multi-input motion data.
26. An imaging system, comprising:
an imager configured to generate a plurality of signals representative of at least one of a heart and a respiratory organ;
data acquisition circuitry configured to acquire the plurality of signals;
data processing circuitry configured to receive the plurality of signals;
system control circuitry configured to operate at least one of the imager and the data acquisition circuitry;
an operator workstation configured to communicate with the system control circuitry and to receive at least the processed plurality of signals from the data processing circuitry;
one or more sensor-based motion measurement systems configured to measure electrical activity indicative of the motion of the heart;
one or more sensor-based motion measurement systems configured to measure non-electrical activity indicative of the motion of the heart; and
one or more sensor-based motion measurement systems configured to measure electrical or non-electrical activity indicative of the motion of the respiratory organ;
wherein one or more of the data processing circuitry and operator workstation are configured to extract one or more periods of minimal motion for one of the heart and the respiratory organ from a set of multi-input motion data comprising at least a set of electrical data representative of cardiac motion, at least a set of non-electrical data representative of cardiac motion, and a set of electrical or non-electrical data representative of respiratory motion acquired by the respective sensor-based motion measurement systems.
27. The imaging system as recited in claim 26 , wherein a sensor-based motion measurement systems configured to measure non-electrical activity indicative of the motion of the heart and a sensor-based motion measurement systems configured to measure non-electrical activity indicative of the motion of the respiratory organ are the same.