2024
CT-Less Whole-Body Bone Segmentation of PET Images Using a Multimodal Deep Learning Network
Bao N, Zhang J, Li Z, Wei S, Zhang J, Greenwald S, Onofrey J, Lu Y, Xu L. CT-Less Whole-Body Bone Segmentation of PET Images Using a Multimodal Deep Learning Network. IEEE Journal Of Biomedical And Health Informatics 2024, PP: 1-16. DOI: 10.1109/jbhi.2024.3501386.Peer-Reviewed Original ResearchPositron emission tomographyMultimodal fusion modulePositron emission tomography imagingMultimodal fusion networkAttenuation mapDice similarity coefficientFusion moduleFusion networkEncoder RepresentationsEncoder branchesCT imagesTraining dataComputed tomographyTumor analysisTracer activityModality imagesMultimodal deep learning networkPET imagingBone segmentsSqueeze-and-excitationBone cancerPositron emission tomography informationCT-based approachDeep learning networkImprove segmentation performance
2020
Deep learning-based attenuation map generation for myocardial perfusion SPECT
Shi L, Onofrey JA, Liu H, Liu YH, Liu C. Deep learning-based attenuation map generation for myocardial perfusion SPECT. European Journal Of Nuclear Medicine And Molecular Imaging 2020, 47: 2383-2395. PMID: 32219492, DOI: 10.1007/s00259-020-04746-6.Peer-Reviewed Original Research
2019
A Novel Loss Function Incorporating Imaging Acquisition Physics for PET Attenuation Map Generation Using Deep Learning
Shi L, Onofrey J, Revilla E, Toyonaga T, Menard D, Ankrah J, Carson R, Liu C, Lu Y. A Novel Loss Function Incorporating Imaging Acquisition Physics for PET Attenuation Map Generation Using Deep Learning. Lecture Notes In Computer Science 2019, 11767: 723-731. DOI: 10.1007/978-3-030-32251-9_79.Peer-Reviewed Original ResearchAttenuation mapAttenuation correctionCT-based attenuation mapAnnihilation eventsPET attenuation correctionLine integral projectionsPET raw dataInaccurate attenuation correctionCT attenuation mapsPhysicsMaximum likelihood reconstructionAC errorsMotion resultsLikelihood reconstructionLoss functionLarge biasΜ-CT