2024
PET Image Denoising Based on 3D Denoising Diffusion Probabilistic Model: Evaluations on Total-Body Datasets
Yu B, Ozdemir S, Dong Y, Shao W, Shi K, Gong K. PET Image Denoising Based on 3D Denoising Diffusion Probabilistic Model: Evaluations on Total-Body Datasets. Lecture Notes In Computer Science 2024, 15007: 541-550. DOI: 10.1007/978-3-031-72104-5_52.Peer-Reviewed Original ResearchDenoising diffusion probabilistic modelPET image denoisingDiffusion probabilistic modelImage denoisingFDG-PET datasetComputer-vision tasksProbabilistic modelLow-dose imagesConvolutional networkDenoisingEdge contourGenerative modelScoring functionDatasetPET datasetsPhysical degrading factorsExperimental resultsPositron emission tomographyNetworkPhoton countingTest dataImagesHigh confidenceUNetDegradation factors
2023
Attenuation correction for PET imaging using conditional denoising diffusion probabilistic model
Dong Y, Jang S, Han P, Johnson K, Ma C, Fakhri G, Li Q, Gong K. Attenuation correction for PET imaging using conditional denoising diffusion probabilistic model. 2023, 00: 1-1. DOI: 10.1109/nssmicrtsd49126.2023.10338188.Peer-Reviewed Original ResearchDiffusion probabilistic modelGenerative adversarial networkConditional encodingAttenuation correctionDenoising diffusion probabilistic modelLow-level featuresProbabilistic modelAttenuation coefficientAdversarial networkExtract featuresPET/MR systemsEncodingPET acquisitionNovel methodDiffusion encodingMagnetic resonanceImagesPET imagingCorrectionMR imagingUNetAttenuationNetworkFeaturesResonance