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
2020
In vivo quantitative mapping of human mitochondrial cardiac membrane potential: a feasibility study
Pelletier-Galarneau M, Petibon Y, Ma C, Han P, Kim S, Detmer F, Yokell D, Guehl N, Normandin M, El Fakhri G, Alpert N. In vivo quantitative mapping of human mitochondrial cardiac membrane potential: a feasibility study. European Journal Of Nuclear Medicine And Molecular Imaging 2020, 48: 414-420. PMID: 32719915, PMCID: PMC7839097, DOI: 10.1007/s00259-020-04878-9.Peer-Reviewed Original ResearchConceptsMembrane potentialBolus injectionHealthy subjectsHematocrit levelsSerial venous blood samplesT1 mapping imagesVenous blood samplesExtracellular space fractionMethodsThirteen healthy subjectsDynamic PET acquisitionCellular membrane potentialGadolinium injectionPrognostic informationVentricular arrhythmiasHeart failureMyocardial hypertrophyMitochondrial membrane potentialCardiac diseaseIn vitro assessmentTherapy monitoringBlood concentrationsPET acquisitionImaging protocolBlood samplesPlasma tracer concentration