2020
MR‐based PET attenuation correction using a combined ultrashort echo time/multi‐echo Dixon acquisition
Han P, Horng D, Gong K, Petibon Y, Kim K, Li Q, Johnson K, Fakhri G, Ouyang J, Ma C. MR‐based PET attenuation correction using a combined ultrashort echo time/multi‐echo Dixon acquisition. Medical Physics 2020, 47: 3064-3077. PMID: 32279317, PMCID: PMC7375929, DOI: 10.1002/mp.14180.Peer-Reviewed Original ResearchConceptsLinear attenuation coefficientPositron emission tomography attenuation correctionPhysical compartmental modelAttenuation correctionShort T<sub>2</sub> componentPET attenuation correctionRadial k-space trajectoryMagnetic resonance (MR)-based methodK-space trajectoriesRadial trajectoryK-spaceAttenuation coefficientDixon acquisitionsPositron emission tomographyWhole white matterMuting methodImage reconstructionImaging speedMR signalMRAC methodPositron emission tomography imagingCorrectionGray matter regionsPhantomMatter regions
2019
Attenuation correction using 3D deep convolutional neural network for brain 18F-FDG PET/MR: Comparison with Atlas, ZTE and CT based attenuation correction
Blanc-Durand P, Khalife M, Sgard B, Kaushik S, Soret M, Tiss A, Fakhri G, Habert M, Wiesinger F, Kas A. Attenuation correction using 3D deep convolutional neural network for brain 18F-FDG PET/MR: Comparison with Atlas, ZTE and CT based attenuation correction. PLOS ONE 2019, 14: e0223141. PMID: 31589623, PMCID: PMC6779234, DOI: 10.1371/journal.pone.0223141.Peer-Reviewed Original ResearchConceptsZero echo timeAC mapsAttenuation correctionPET attenuation correctionCT-based ACComputed tomographyAC methodPhoton attenuationZTE-ACInvestigation of suspected dementiaMR imagingBrain computed tomographyAtlas-ACBrain metabolismZTE-MRIConvolutional neural networkEcho timeHead atlasFDG-PET/MRPET imagingLow biasRegions-of-interestPatientsCorrectionNeural network
2015
Continuous MR bone density measurement using water- and fat-suppressed projection imaging (WASPI) for PET attenuation correction in PET-MR
Huang C, Ouyang J, Reese T, Wu Y, Fakhri G, Ackerman J. Continuous MR bone density measurement using water- and fat-suppressed projection imaging (WASPI) for PET attenuation correction in PET-MR. Physics In Medicine And Biology 2015, 60: n369-n381. PMID: 26405761, PMCID: PMC4607313, DOI: 10.1088/0031-9155/60/20/n369.Peer-Reviewed Original ResearchConceptsAttenuation correctionUltrashort echo timeMR-based attenuation correctionProjection imagesPET attenuation correctionMR attenuation correctionPET-MRPulse sequenceEcho timeDensity variationsPET imagingCorrectionBone density variationWASPIDensity measurementsAttenuation variationsPhantomMR sequencesLack of signalPulseAttenuation
2014
Quantitative simultaneous positron emission tomography and magnetic resonance imaging
Ouyang J, Petibon Y, Huang C, Reese T, Kolnick A, Fakhri G. Quantitative simultaneous positron emission tomography and magnetic resonance imaging. Journal Of Medical Imaging 2014, 1: 033502-033502. PMID: 26158055, PMCID: PMC4306197, DOI: 10.1117/1.jmi.1.3.033502.Peer-Reviewed Original Research
2013
Bias Atlases for Segmentation-Based PET Attenuation Correction Using PET-CT and MR
Ouyang J, Chun Y, Petibon Y, Bonab A, Alpert N, Fakhri G. Bias Atlases for Segmentation-Based PET Attenuation Correction Using PET-CT and MR. IEEE Transactions On Nuclear Science 2013, 60: 3373-3382. PMID: 24966415, PMCID: PMC4067048, DOI: 10.1109/tns.2013.2278624.Peer-Reviewed Original ResearchAttenuation correctionBias imagesLung density variationsPET attenuation correctionPET-MR scannersAttenuation mapFat identificationOriginal CTPET reconstructionOverall standard deviationPET-MRMR imagingVariation of biasDensity variationsCT-based studyPET accuracyPET-CTStandard deviation of biasCorrectionFat segmentationTissue classesPatientsSoft tissueAttenuationLung