RT Journal Article
SR Electronic
T1 Enhanced ejection fraction estimation in 4D respiratory motion compensated myocardial perfusion PET imaging
JF Journal of Nuclear Medicine
JO J Nucl Med
FD Society of Nuclear Medicine
SP 148
OP 148
VO 55
IS supplement 1
A1 Tang, Jing
A1 Wang, Xinhui
A1 Segars, William
A1 Rahmim, Arman
A1 Wong, Ching-yee
YR 2014
UL http://jnm.snmjournals.org/content/55/supplement_1/148.abstract
AB 148 Objectives Respiratory (R) motion degrades myocardial perfusion (MP) PET imaging, affecting quantitative evaluation such as ejection fraction (EF) measurement. The goal is to study the effect of R motion and subsequent correction on measurement of left ventricular EF with normal and regionally reduced cardiac (C) motion. Methods We developed a 4D R motion compensated image reconstruction method for dual-gated MP PET imaging. The R motion fields were first estimated from the R-gated only images with the end-expiration frame as the reference. For each C gate, the estimated R motion was then integrated within the 4D motion-compensated image reconstruction. Using the NCAT phantom, we simulated two dual-gated Rb-82 PET datasets, one with normal and the other with reduced C motion in the anterior-lateral region. Each dataset had 20 noise realizations of 5 R and 8 C gates, with the organ activity and noise levels representing clinically realistic Rb-82 scans. Using the Corrdior4DM software, we evaluated the EF from reconstructed C-gated images with and without R motion correction. Results Both the estimated end-diastolic volume (EDV) and the end-systolic volume (ESV) were lower from images without than with R motion correction. In the normal C motion case, the underestimation was 26% for EDV and 14% for ESV. With and without R motion correction, the EF for the normal heart measured 60.6±1.3% and 54.6±2.3%, while the EF for the abnormal heart measured 52.3±1.8% and 49.4±2.8%. The difference between the average normal and the abnormal EFs was 8.3% with R motion correction compared to 4.7% without. Conclusions R motion reduces the estimated EDV and ESV resulting in lowered EF measurements in both the normal and the abnormal C motion cases. Furthermore, R motion reduces the difference between estimated normal and abnormal EFs. The proposed 4D R motion correction may have the potential to improve clinical quantification and detection of abnormal EF.