ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2019
Improving perfusion defect detection with respiratory motion correction in cardiac SPECT at standard and reduced doses.
Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 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
- Investigation of Attenuation Correction Methods for Dual-Gated Single Photon Emission Computed Tomography (DG-SPECT).Bioengineering (Basel, Switzerland) · 2025Article
- Respiratory signal estimation for cardiac perfusion SPECT using deep learning.Medical physics · 2024Article
- Deep learning, another important tool for improving acquisition efficiency in SPECT MPI Imaging.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021Article
- Review of cardiovascular imaging in the Journal of Nuclear Cardiology 2019: Single-photon emission computed tomography.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020Review
- Cardiac motion correction for improving perfusion defect detection in cardiac SPECT at standard and reduced doses of activity.Physics in medicine and biology · 2019Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
backgroundIn cardiac SPECT perfusion imaging, respiratory motion can cause non-uniform blurring in the reconstructed myocardium. We investigate the potential benefit of respiratory correction with respiratory-binned acquisitions, both at standard dose and at reduced dose, for defect detection and for left ventricular (LV) wall resolution.
methodsWe applied two reconstruction methods for respiratory motion correction: post-reconstruction motion correction (PMC) and motion-compensated reconstruction (MCR), and compared with reconstruction without motion correction (Non-MC). We quantified the presence of perfusion defects in reconstructed images by using the total perfusion deficit (TPD) scores and conducted receiver-operating-characteristic (ROC) studies using TPD. We quantified the LV spatial resolution by using the FWHM of its cross-sectional intensity profile.
resultsThe values in the area-under-the-ROC-curve (AUC) achieved by MCR, PMC, and Non-MC at standard dose were 0.835, 0.830, and 0.798, respectively. Similar AUC improvements were also obtained by MCR and PMC over Non-MC at 50%, 25%, and 12.5% of full dose. Improvements in LV resolution were also observed with motion correction.
conclusionsRespiratory-binned acquisitions can improve perfusion-defect detection accuracy over traditional reconstruction both at standard dose and at reduced dose. Motion correction may contribute to achieving further dose reduction while maintaining the diagnostic accuracy of traditional acquisitions.
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Registered trials
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