Cardiac contraction motion compensation in gated myocardial perfusion SPECT: A comparative study |
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| Institution: | 1. Department of Medical Physics and Biomedical engineering, School of Medicine, Tehran University of Medical Science, Tehran, Iran;2. Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran;3. Department of Radiology, Johns Hopkins University, Baltimore, MD, USA;4. Department of Electrical & Computer Engineering, Johns Hopkins University, Baltimore, MD, USA;5. Electrical Engineering Department, Sharif University of Technology, Tehran, Iran;6. Department of Nuclear Medicine, Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran;1. University of Opole, Faculty of Chemistry, 48, Oleska Str., 45-052 Opole, Poland;2. Institute of Physical Chemistry, Polish Academy of Sciences, 44/52, Kasprzaka, Str., 01-224 Warsaw, Poland;3. Faculty of Chemical and Process Engineering, Warsaw University of Technology, 1, Waryńskiego Street, 00-065 Warszawa, Poland;1. Department of Chemistry, Faculty of Science, Tarbiat Modares University, Tehran, 14115-175, Iran;2. Department of Biology, Faculty of Science, Zanjan University, Zanjan, Iran;3. Life Science Group, Scientific Research Division, National Synchrotron Radiation Research Center, Taiwan;1. Department of Physics, Science and Research Branch, Islamic Azad University, Tehran, Iran;2. Department of Physics, Shahid Rajaee Teacher Training University, Lavizan, Tehran 16788, Iran |
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| Abstract: | IntroductionCardiac contraction significantly degrades quality and quantitative accuracy of gated myocardial perfusion SPECT (MPS) images. In this study, we aimed to explore different techniques in motion-compensated temporal processing of MPS images and their impact on image quality and quantitative accuracy.Material and method50 patients without known heart condition underwent gated MPS. 3D motion compensation methods using Motion Freezing by Cedars Sinai (MF), Log-domain Diffeomorphic Demons (LDD) and Free-Form Deformation (FFD) were applied to warp all image phases to fit the end-diastolic (ED) phase. Afterwards, myocardial wall thickness, myocardial to blood pool contrast, and image contrast-to noise ratio (CNR) were measured in summed images with no motion compensation (NoMC) and compensated images (MF, LDD and FFD). Total Perfusion Defect (TPD) was derived from Cedars-Sinai software, on the basis of sex-specific normal limits.ResultLeft ventricle (LV) lateral wall thickness was reduced after applying motion compensation (p < 0.05). Myocardial to blood pool contrast and CNR in compensated images were greater than NoMC (p < 0.05). TPD_LDD was in good agreement with the corresponding TPD_MF (p = 0.13).ConclusionAll methods have improved image quality and quantitative performance relative to NoMC. LDD and FFD are fully automatic and do not require any manual intervention, while MF is dependent on contour definition. In terms of diagnostic parameters LDD is in good agreement with MF which is a clinically accepted method. Further investigation along with diagnostic reference standards, in order to specify diagnostic value of each technique is recommended. |
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| Keywords: | Myocardial perfusion SPECT Contraction Motion compensation Log-domain Diffeomorphic demons FFD Motion freezing QPS |
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