Low Dose Myocardial Perfusion SPECT Denoising Using an Attention-Based Generative Adversarial Network
Sun J, Li C, Du Y, Wu T, Yang B, Liu Y, Mok G. Low Dose Myocardial Perfusion SPECT Denoising Using an Attention-Based Generative Adversarial Network. 2022, 00: 1-3. DOI: 10.1109/nss/mic44845.2022.10399080.Peer-Reviewed Original ResearchNormalized Mean Square ErrorConvolutional neural network (CNN)-based methodsDeep learning-based denoisersConditional generative adversarial networkKernel’s receptive fieldLearning-based denoisingGenerative adversarial networkProjection-domainReceptive fieldsMean square errorList mode dataDenoising performanceAttention schemeAdversarial networkConvolution kernelAdam optimizerPerfusion defect sizeDenoisingNormalized standard deviationFull doseCGANMP-SPECTDose levelsLow dosesSquare errorDeep 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