2022
Deep learning-based denoising in projection-domain and reconstruction-domain for low-dose myocardial perfusion SPECT
Sun J, Jiang H, Du Y, Li C, Wu T, Liu Y, Yang B, Mok G. Deep learning-based denoising in projection-domain and reconstruction-domain for low-dose myocardial perfusion SPECT. Journal Of Nuclear Cardiology 2022, 30: 970-985. PMID: 35982208, DOI: 10.1007/s12350-022-03045-x.Peer-Reviewed Original ResearchConceptsConditional generative adversarial networkGenerative adversarial networkImage qualityAdversarial networkOS-EM methodList-mode dataXCAT phantomPost-reconstruction filteringImagesSPECT projectionsDenoisingMyocardial perfusion SPECTHigh noise levelsPerfusion SPECTFull doseSPECT/CT scansNetworkDifferent anatomical variationsMode dataFilteringMP-SPECTLD images
2017
A blind deconvolution method incorporated with anatomical‐based filtering for partial volume correction: Validations with 123I‐mIBG cardiac SPECT/CT
Wu J, Liu H, Zonouz T, Sandoval VM, Mohy‐ud‐Din H, Lampert RJ, Sinusas AJ, Liu C, Liu Y. A blind deconvolution method incorporated with anatomical‐based filtering for partial volume correction: Validations with 123I‐mIBG cardiac SPECT/CT. Medical Physics 2017, 44: 6435-6446. PMID: 28994458, DOI: 10.1002/mp.12622.Peer-Reviewed Original Research