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- Title
Deep learning to automate SPECT MPI myocardial reorientation.
- Authors
Hijazi, Waseem; Miller, Robert J. H.
- Abstract
See related article, https://doi.org/10.1007/s12350-023-03226-2 Single photon emission computed tomography (SPECT) myocardial perfusing imaging (MPI) is commonly utilized to evaluate patients with known or suspected coronary artery disease (CAD), given its ability to provide cardiovascular robust risk stratification.[1],[2] However, with the widespread use of this technology, ensuring robust post-processing and quality control is essential for optimizing accuracy and reproducibility across laboratories. Single photon emission computed tomography (SPECT) myocardial perfusion imaging guidelines: Instrumentation, acquisition, processing, and interpretation. 10.1007/s00259-022-05735-7. 35312837 13 Liu H, Wu J, Shi L, Liu Y, Miller E, Sinusas A. Post-reconstruction attenuation correction for SPECT myocardium perfusion imaging facilitated by deep learning-based attenuation map generation.
- Subjects
SIGNAL convolution; SINGLE-photon emission computed tomography; DEEP learning; MYOCARDIAL perfusion imaging; CARDIAC radionuclide imaging; ARTIFICIAL intelligence
- Publication
Journal of Nuclear Cardiology, 2023, Vol 30, Issue 5, p1836
- ISSN
1071-3581
- Publication type
Article
- DOI
10.1007/s12350-023-03260-0