2021
Magnetic resonance parameter mapping using model‐guided self‐supervised deep learning
Liu F, Kijowski R, Fakhri G, Feng L. Magnetic resonance parameter mapping using model‐guided self‐supervised deep learning. Magnetic Resonance In Medicine 2021, 85: 3211-3226. PMID: 33464652, PMCID: PMC9185837, DOI: 10.1002/mrm.28659.Peer-Reviewed Original ResearchConceptsMR parameter mappingSupervised learningReconstruction qualityImaging modelSelf-supervised deep learningStandard supervised learningConventional iterative reconstructionData setsDeep learning purposesSuperior reconstruction qualityImprove reconstruction qualityQuantitative MRI applicationsUndersampled k-spacePresence of noisePhysical modeling constraintsSparsity constraintNetwork trainingReconstruction performanceDeep learningReconstruction frameworkMap extractionImprove image qualitySuppress noiseGround truthUndersampling artifacts
2020
Motion correction for PET data using subspace-based real-time MR imaging in simultaneous PET/MR
Marin T, Djebra Y, Han P, Chemli Y, Bloch I, Fakhri G, Ouyang J, Petibon Y, Ma C. Motion correction for PET data using subspace-based real-time MR imaging in simultaneous PET/MR. Physics In Medicine And Biology 2020, 65: 235022. PMID: 33263317, PMCID: PMC7985095, DOI: 10.1088/1361-6560/abb31d.Peer-Reviewed Original ResearchConceptsPositron emission tomography reconstructionMotion-corrected PET reconstructionsPET reconstructionMotion-corrected PET imagesIrregular respiratory motionMotion fieldMotion correction methodMotion correction approachIrregular motion patternsUndersampled k-space dataImage quality of positron emission tomographyQuality of positron emission tomographyMotion patternsLow-rank characteristicsRespiratory motionContrast-to-noise ratioEstimated motion fieldSurrogate signalsMotion correctionK-space dataImage qualityReal-time MR imagingSimultaneous PET/MRMotion artifact reductionPET/MR scanners
2019
Body motion detection and correction in cardiac PET: Phantom and human studies
Sun T, Petibon Y, Han P, Ma C, Kim S, Alpert N, Fakhri G, Ouyang J. Body motion detection and correction in cardiac PET: Phantom and human studies. Medical Physics 2019, 46: 4898-4906. PMID: 31508827, PMCID: PMC6842053, DOI: 10.1002/mp.13815.Peer-Reviewed Original ResearchConceptsList-mode dataMotion-compensated image reconstructionMotion correctionCenter of massPET list-mode dataMotion correction methodMotion detectionMotion estimationImage reconstructionPatient body motionDegrade image qualityNonrigid registrationImage qualityMotion transformationCoincident distributionBody motion detectionCardiac positron emission tomographyBack-projection techniqueCovariance matrixImage volumesBody motionPositron emission tomographyBack-projectionReference framePhantomMR-based cardiac and respiratory motion correction of PET: application to static and dynamic cardiac 18F-FDG imaging
Petibon Y, Sun T, Han P, Ma C, Fakhri G, Ouyang J. MR-based cardiac and respiratory motion correction of PET: application to static and dynamic cardiac 18F-FDG imaging. Physics In Medicine And Biology 2019, 64: 195009. PMID: 31394518, PMCID: PMC7007962, DOI: 10.1088/1361-6560/ab39c2.Peer-Reviewed Original ResearchConceptsMR-based motion correctionRespiratory motion correctionMotion correctionImproved spatial resolutionReconstructed activity concentrationCardiac PET dataSpatial resolutionCoincidence eventsMR-basedPET imagingContrast-to-noise ratioCardiac PET imagingRespiratory phasesMC dataImprove image qualityMR acquisitionQuantitative accuracyCardiac PETPET dataActivity concentrationsMyocardium wallF-FDG PETDynamics studiesImage qualityMotion artifacts
2015
Pulmonary imaging using respiratory motion compensated simultaneous PET/MR
Dutta J, Huang C, Li Q, El Fakhri G. Pulmonary imaging using respiratory motion compensated simultaneous PET/MR. Medical Physics 2015, 42: 4227-4240. PMID: 26133621, PMCID: PMC4474958, DOI: 10.1118/1.4921616.Peer-Reviewed Original ResearchConceptsRespiratory motionContrast-to-noise ratioClinical patient studiesPulse sequenceHigh-intensity featuresXCAT studyLow proton densityXCAT simulationPatient studiesXCAT phantomAttenuation mapBiograph mMRComplete data acquisitionSimultaneous PET/MRNonrigid registrationPET/MR scannersPET/magnetic resonanceMagnetic susceptibilityProton densityQuantitative accuracyRelaxation timePulmonary imagingLung lesionsBlurring artifactsDeformation field
2014
Pattern recognition for rapid T2 mapping with stimulated echo compensation
Huang C, Altbach M, Fakhri G. Pattern recognition for rapid T2 mapping with stimulated echo compensation. Magnetic Resonance Imaging 2014, 32: 969-974. PMID: 24853466, PMCID: PMC4099291, DOI: 10.1016/j.mri.2014.04.014.Peer-Reviewed Original ResearchMR‐based motion correction for PET imaging using wired active MR microcoils in simultaneous PET‐MR: Phantom study
Huang C, Ackerman J, Petibon Y, Brady T, Fakhri G, Ouyang J. MR‐based motion correction for PET imaging using wired active MR microcoils in simultaneous PET‐MR: Phantom study. Medical Physics 2014, 41: 041910. PMID: 24694141, PMCID: PMC3978416, DOI: 10.1118/1.4868457.Peer-Reviewed Original ResearchConceptsMotion correctionMR-based motion correctionStatic phantom dataPET quantitative accuracyPET-MRPET-MR scannersSimultaneous PET-MRHoffman phantomList-modePositron emission tomography imagingPET reconstructionBrain positron emission tomographyIterative PET reconstructionPhantom dataPhantomQuantitative accuracyIndependent noise realizationsImage contrastNoise realizationsHead motionPET dataPositron emission tomographyStatic referenceBrain PET scansMotion artifactsMotion compensation for brain PET imaging using wireless MR active markers in simultaneous PET–MR: Phantom and non-human primate studies
Huang C, Ackerman J, Petibon Y, Normandin M, Brady T, Fakhri G, Ouyang J. Motion compensation for brain PET imaging using wireless MR active markers in simultaneous PET–MR: Phantom and non-human primate studies. NeuroImage 2014, 91: 129-137. PMID: 24418501, PMCID: PMC3965607, DOI: 10.1016/j.neuroimage.2013.12.061.Peer-Reviewed Original ResearchConceptsMotion correctionWireless markersList-mode reconstructionReconstructed PET imagesMotion correction techniqueObserver signal-to-noise ratioSimultaneous PET-MRMotion artifactsPET phantomPET contrastPET reconstructionBrain PET imagingPET imagingPhantomBrain PETPET-MRIndependent noise realizationsAccurate quantitative valuesHead motionNoise realizationsPET dataSignal-to-noise ratioStatic referenceBrain PET scansActivation markers
2012
MRI-Based Nonrigid Motion Correction in Simultaneous PET/MRI
Chun Y, Reese T, Ouyang J, Guerin B, Catana C, Zhu X, Alpert N, Fakhri G. MRI-Based Nonrigid Motion Correction in Simultaneous PET/MRI. Journal Of Nuclear Medicine 2012, 53: 1284-1291. PMID: 22743250, PMCID: PMC4077320, DOI: 10.2967/jnumed.111.092353.Peer-Reviewed Original ResearchConceptsChannelized Hotelling observerMotion correctionDetection signal-to-noise ratioSignal-to-noise ratioMRI-based motion correctionRespiratory motion correctionMotion-corrected reconstructionOrdered-subsets expectation maximization algorithmNonrigid motion correctionChannelized Hotelling observer studyPET image qualityNonrigid image registration methodCoincidence dataDeformable phantomRespiratory gatingReduce radiation doseDynamic phantomImage registration methodReduced signal-to-noise ratioSimultaneous PET/MRICost of increased noiseHotelling observerPhantomAttenuation measurementsRabbit studies
2010
Novel Scatter Compensation of List-Mode PET Data Using Spatial and Energy Dependent Corrections
Guérin B, Fakhri G. Novel Scatter Compensation of List-Mode PET Data Using Spatial and Energy Dependent Corrections. IEEE Transactions On Medical Imaging 2010, 30: 759-773. PMID: 21118770, PMCID: PMC3120772, DOI: 10.1109/tmi.2010.2095025.Peer-Reviewed Original ResearchConceptsScattered coincidencesEnergy resolutionE-pdfNCAT phantomDependent correctionsEnergy of individual photonsScatter correctionEnergy dependent correctionsEnergy probability density functionScatter correction schemeTotal energy spectrumList-mode acquisitionEnergy informationPositron emission tomography dataActivity distribution estimationScatter sinogramIndividual photonsEnergy spectrumCylindrical phantomEnergy distributionMonte Carlo simulationsScattering approachPhotonsScatteringScattering component