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
2017
A four-dimensional motion field atlas of the tongue from tagged and cine magnetic resonance imaging
Xing F, Prince J, Stone M, Wedeen V, Fakhri G, Woo J. A four-dimensional motion field atlas of the tongue from tagged and cine magnetic resonance imaging. Proceedings Of SPIE--the International Society For Optical Engineering 2017, 10133: 101331h-101331h-6. PMID: 29081569, PMCID: PMC5659618, DOI: 10.1117/12.2254363.Peer-Reviewed Original ResearchMotion fieldDense motion fieldTongue motionAtlas spaceThree-dimensional vector fieldsTagged MR imagesCine imagesImage atlasCine MR imagingAtlas constructionMagnetic resonanceVector fieldsFieldMotionImagesRepresentationQuantitative representationMR imagingAtlasDeformation fieldInter-subject variabilityResonanceCine magnetic resonance imagingInter-subject variationTensor