Effect of Respiratory Motion Correction in Perfusion Spect Imaging

Respiratory motion is known to cause non-uniform blur in the reconstructed myocardium in cardiac perfusion imaging with single photon emission computed tomography (SPECT), which can adversely degrade the detectability of perfusion defects. To deal with this issue, we recently proposed a motion-compensated reconstruction scheme by using acquisitions with amplitude-binning. In this study, we evaluate the potential benefit of respiratory motion correction by quantifying the contrast-to-noise ratio (CNR) of the perfusion defects in the reconstructed images using clinical acquisitions. The results demonstrate that with motion correction the CNR is improved to 1.77 from 1.57 (without correction). In addition, there is also an improvement in the spatial resolution of the left ventricular wall. We also investigate the robustness of this reconstruction scheme for reduced dose imaging.

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