2021
A cross-scanner and cross-tracer deep learning method for the recovery of standard-dose imaging quality from low-dose PET
Xue S, Guo R, Bohn K, Matzke J, Viscione M, Alberts I, Meng H, Sun C, Zhang M, Zhang M, Sznitman R, El Fakhri G, Rominger A, Li B, Shi K. A cross-scanner and cross-tracer deep learning method for the recovery of standard-dose imaging quality from low-dose PET. European Journal Of Nuclear Medicine And Molecular Imaging 2021, 49: 1843-1856. PMID: 34950968, PMCID: PMC9015984, DOI: 10.1007/s00259-021-05644-1.Peer-Reviewed Original ResearchConceptsStructural similarity index measurePET imagingGenerative adversarial networkNuclear medicine physiciansArtificial intelligenceLow-dose scansBaseline image qualityDose reductionConditional generative adversarial networkClinical imaging assessmentSimilarity index measureDiversity of clinical practiceDevelopment of AI technologyDeep learning developmentDose acquisitionImaging assessmentMedicine physiciansImage qualityResultsThe improvementPatientsClinical acceptanceClinical practiceClinical settingAdversarial networkLow-dose PET
2017
Joint reconstruction of Ictal/inter‐ictal SPECT data for improved epileptic foci localization
Rakvongthai Y, Fahey F, Borvorntanajanya K, Tepmongkol S, Vutrapongwatana U, Zukotynski K, Fakhri G, Ouyang J. Joint reconstruction of Ictal/inter‐ictal SPECT data for improved epileptic foci localization. Medical Physics 2017, 44: 1437-1444. PMID: 28211105, PMCID: PMC5462456, DOI: 10.1002/mp.12167.Peer-Reviewed Original ResearchConceptsSPECT reconstruction methodDifferential imagingLow-noise datasetConventional subtraction methodLesion contrastSPECT projection dataEpileptic focus localizationHoffman phantomPatient studiesReconstruction methodJoint methodSPECT projectionsHead phantomPhantom locationsSubtraction methodPhantom studyNuclear medicine physiciansAttenuation backgroundPhantomConventional subtraction approachFocus localizationConventional subtractionReceiver operating characteristicLow noiseProjection data