2023
Fast myocardial perfusion SPECT denoising using an attention-guided generative adversarial network
Sun J, Yang B, Li C, Du Y, Liu Y, Wu T, Mok G. Fast myocardial perfusion SPECT denoising using an attention-guided generative adversarial network. Frontiers In Medicine 2023, 10: 1083413. PMID: 36817784, PMCID: PMC9935600, DOI: 10.3389/fmed.2023.1083413.Peer-Reviewed Original ResearchAttention-guided generative adversarial networkGenerative adversarial networkAdversarial networkConvolutional neural network (CNN)-based methodsDeep learning-based denoisersCNN-based networkLearning-based denoisingLocal receptive fieldsReceptive fieldsAttention mechanismConvolution kernelAdam optimizerFive-fold cross-validationAttGANAcquisition timeList mode dataJoint histogramPerfusion defect sizeCGANDefect informationUNetDenoisingNetworkMP-SPECTProjection pairs
2022
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 error
2021
Diagnostic accuracy of stress-only myocardial perfusion SPECT improved by deep learning
Liu H, Wu J, Miller EJ, Liu C, Yaqiang, Liu, Liu YH. Diagnostic accuracy of stress-only myocardial perfusion SPECT improved by deep learning. European Journal Of Nuclear Medicine And Molecular Imaging 2021, 48: 2793-2800. PMID: 33511425, DOI: 10.1007/s00259-021-05202-9.Peer-Reviewed Original ResearchConceptsMyocardial perfusion imagingCoronary artery diseaseMyocardial perfusion abnormalitiesPerfusion abnormalitiesDiagnostic accuracyConvolutional neural networkTomography myocardial perfusion imagingYale-New Haven HospitalMyocardial perfusion defect sizeSPECT myocardial perfusion imagingAbnormal myocardial perfusionReceiver-operating characteristic curvePerfusion defect sizeNew Haven HospitalAUC valuesSingle photon emissionMyocardial perfusion SPECTDeep learningHigh diagnostic accuracyArtery diseaseDL methodsFinal diagnosisPatient genderMyocardial perfusionPerfusion SPECT
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