ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2015
Influence of respiratory motion correction on quantification of myocardial perfusion SPECT.
Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- A projection-domain deep learning approach for respiratory motion correction of myocardial perfusion imaging using a multi-pinhole solid-state SPECT.Medical physics · 2026Article
- Applying deep learning attenuation correction in the presence of motion.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023Article
- Impact of data-driven cardiac respiratory motion correction on the extent and severity of myocardial perfusion defects with free-breathing CZT SPECT.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2018Article
- Application of the 4-D XCAT Phantoms in Biomedical Imaging and Beyond.IEEE transactions on medical imaging · 2018Review
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Authors and funding
8 authors.
Funding
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Abstract
backgroundRespiratory-related cardiac motion could have considerable effects on myocardial perfusion imaging, leading to misinterpretation of the images. In this study, we examined the influence of respiratory correction on ECG-gated myocardial perfusion SPECT (RC-GSPECT) concerning regional myocardial perfusion and function. MATERIALS AND
methodsUsing the NCAT phantom, a typical torso phantom was generated. SimSET, a Monte Carlo simulator, was used to image the photon emerging from the phantom. Twenty-six patients underwent a 2-day stress-rest ECG-gated myocardial perfusion SPECT (GSPECT) imaging. A separate study was also performed by simultaneous respiratory and cardiac triggering with the real-time position management (RPM) for respiratory correction (RC).
resultsIn simulation study, count density in the inferior and inferoseptal walls increased in the lower bin of the respiratory cycle. On the other hand, there was a higher correlation between RC-GSPECT and echocardiography for left ventricular ejection fraction (LVEF) (r = 0.95, P < .01 vs r = 0.88, P < .01 for GSPECT).
conclusionWe proposed a new approach for respiratory and cardiac-gated SPECT to eliminate respiratory motion artifacts. RC-GSPECT is a feasible method in MPI studies and may play an important role to improve the quality of MPI images, particularly in the inferior wall.
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