TY - GEN
T1 - Comprehensive Motion Correction for Cardiac PET Imaging
AU - Spangler-Bickell, Matthew G.
AU - Su, Kuan Hao
AU - Deller, Timothy W.
AU - Buechel, Ronny R.
AU - Kaufmann, Philipp A.
AU - Treyer, Valerie
AU - Jansen, Floris P.
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Cardiac imaging in PET is susceptible to image degradation from multiple types of motion: myocardial motion due to the cardiac cycle, respiratory motion (which can vary greatly over the course of a scan), and bulk body movements. A comprehensive approach to cardiac motion correction has been developed which addresses each of these types of motion. First, the effect of respiratory motion and bulk body movements on the myocardium is modelled as rigid translation motion; these translations are estimated in image space from short-duration (0.5 s) frames reconstructed over the full duration of the scan. This accounts for variation in respiratory motion because no periodicity is assumed. Next, an ECG signal is used for phase-based gating of the myocardial cycle. The cardiac gated reconstructions incorporate event-by-event motion correction from the estimated translations. The resulting cardiac gated series presents the heart at a fixed position, with only cardiac motion between gates. Finally, the cardiac gated images are combined into a single volume via non-rigid registration using the Q.Freeze2 package from GE HealthCare. This approach provides a single fully motion-corrected, quantitative image of the myocardium that utilizes all counts. Results from this approach are shown on NH3 data with the reconstructions showing improved contrast and signal-to-noise.
AB - Cardiac imaging in PET is susceptible to image degradation from multiple types of motion: myocardial motion due to the cardiac cycle, respiratory motion (which can vary greatly over the course of a scan), and bulk body movements. A comprehensive approach to cardiac motion correction has been developed which addresses each of these types of motion. First, the effect of respiratory motion and bulk body movements on the myocardium is modelled as rigid translation motion; these translations are estimated in image space from short-duration (0.5 s) frames reconstructed over the full duration of the scan. This accounts for variation in respiratory motion because no periodicity is assumed. Next, an ECG signal is used for phase-based gating of the myocardial cycle. The cardiac gated reconstructions incorporate event-by-event motion correction from the estimated translations. The resulting cardiac gated series presents the heart at a fixed position, with only cardiac motion between gates. Finally, the cardiac gated images are combined into a single volume via non-rigid registration using the Q.Freeze2 package from GE HealthCare. This approach provides a single fully motion-corrected, quantitative image of the myocardium that utilizes all counts. Results from this approach are shown on NH3 data with the reconstructions showing improved contrast and signal-to-noise.
UR - http://www.scopus.com/inward/record.url?scp=85185384902&partnerID=8YFLogxK
U2 - 10.1109/NSS/MIC44845.2022.10398949
DO - 10.1109/NSS/MIC44845.2022.10398949
M3 - Conference contribution
AN - SCOPUS:85185384902
T3 - 2022 IEEE NSS/MIC RTSD - IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detector Conference
BT - 2022 IEEE NSS/MIC RTSD - IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detector Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE Nuclear Science Symposium, Medical Imaging Conference, and Room Temperature Semiconductor Detector Conference, IEEE NSS MIC RTSD 2022
Y2 - 5 November 2022 through 12 November 2022
ER -