2024
Accelerated 3D metabolite T1 mapping of the brain using variable‐flip‐angle SPICE
Zhao Y, Li Y, Guo R, Jin W, Sutton B, Ma C, Fakhri G, Li Y, Luo J, Liang Z. Accelerated 3D metabolite T1 mapping of the brain using variable‐flip‐angle SPICE. Magnetic Resonance In Medicine 2024, 92: 1310-1322. PMID: 38923032, DOI: 10.1002/mrm.30200.Peer-Reviewed Original ResearchConceptsLow-rank tensor modelGeneralized series modelMetabolite TExperimental resultsBrain metabolitesClinically acceptable scan timeEfficient encodingPhantom experimental resultsAcceptable scan timeNoisy dataSparse samplingImaging problemsData processingHealthy subject dataVariable flip angleFlip angleTensor modelSaturation effectsQuantitative metabolic imagingMRSI techniquePhantomScan timeData acquisitionMetabolic imagingT1 mapping
2022
Joint spectral quantification of MR spectroscopic imaging using linear tangent space alignment‐based manifold learning
Ma C, Han P, Zhuo Y, Djebra Y, Marin T, Fakhri G. Joint spectral quantification of MR spectroscopic imaging using linear tangent space alignment‐based manifold learning. Magnetic Resonance In Medicine 2022, 89: 1297-1313. PMID: 36404676, PMCID: PMC9892363, DOI: 10.1002/mrm.29526.Peer-Reviewed Original ResearchConceptsSubspace-based methodsManifold learningIntrinsic low-dimensional structureGlobal coordinationLearning-based methodsNumerical simulation dataSpatial smoothness constraintSparsity constraintSpace alignmentSubspace modelSmoothness constraintSuperior performanceRoot mean square errorLinear transformationMechanical simulationsLow-dimensionalSquare errorSubspaceExperimental dataSpectroscopic imagingQuantum mechanical simulationsCoordinate alignmentMR spectroscopic imagingSpectral quantificationSimulated dataWalking With the ISMRM in the Footprints of Our MR History
Mandija S, Ma C, Bai R, Feng L, Giganti F, Ianus A, Lee H, Li F, Welton T, Calamante F. Walking With the ISMRM in the Footprints of Our MR History. Journal Of Magnetic Resonance Imaging 2022, 57: 1934-1936. PMID: 36353846, DOI: 10.1002/jmri.28459.Peer-Reviewed Original ResearchHumansWalking
2021
Free‐breathing 3D cardiac T1 mapping with transmit B1 correction at 3T
Han P, Marin T, Djebra Y, Landes V, Zhuo Y, Fakhri G, Ma C. Free‐breathing 3D cardiac T1 mapping with transmit B1 correction at 3T. Magnetic Resonance In Medicine 2021, 87: 1832-1845. PMID: 34812547, PMCID: PMC8810588, DOI: 10.1002/mrm.29097.Peer-Reviewed Original ResearchConceptsFlip-angle estimationCardiac T<sub>1</sub> mappingGradient echo readoutThrough-plane spatial resolutionImaging timePractical imaging timesFree breathingPhantom studyB1 correctionAccelerated imagingIn-planeT)-spaceMyocardial T<sub>1</sub> valuesSubspace-based methodsSpatial resolutionImaging experimentsAcquisition schemeT)-space dataSubject-specific timeCorrectionModified Look-Locker inversion recoveryLook-Locker inversion recoveryTime of data acquisitionAverage imaging timeInversion-recovery sequenceDeep learning-based GTV contouring modeling inter- and intra- observer variability in sarcomas
Marin T, Zhuo Y, Lahoud R, Tian F, Ma X, Xing F, Moteabbed M, Liu X, Grogg K, Shusharina N, Woo J, Lim R, Ma C, Chen Y, El Fakhri G. Deep learning-based GTV contouring modeling inter- and intra- observer variability in sarcomas. Radiotherapy And Oncology 2021, 167: 269-276. PMID: 34808228, PMCID: PMC8934266, DOI: 10.1016/j.radonc.2021.09.034.Peer-Reviewed Original ResearchConceptsGross tumor volumeRadiation therapy treatment planningGross tumor volume contoursGross tumor volume delineationTherapy treatment planningIntra-observer variabilityConsensus contoursGTV contoursPre-operative CT imagesSoft tissue sarcomasRadiation oncologistsTumor volumeBone sarcomasTreatment planningAccurate contoursCT imagesDelineation procedureSarcomaSoft tissueConfidence levelRadiationPatientsHausdorff distanceMultiple contoursX-rayHigh-Resolution Label-Free Molecular Imaging of Brain Tumor
Guo R, Ma C, Li Y, Zhao Y, Wang T, Li Y, Fakhri G, Liang Z. High-Resolution Label-Free Molecular Imaging of Brain Tumor. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2021, 00: 3049-3052. PMID: 34891886, DOI: 10.1109/embc46164.2021.9630623.Peer-Reviewed Original ResearchConceptsMagnetic resonance spectroscopic imagingBrain tumorsIntra-tumoural metabolic heterogeneityAssessment of treatment efficacySmall-sized tumorsClinical applicationN-acetyl aspartateBrain tumor characterizationPotential clinical applicationsApplication of magnetic resonance spectroscopic imagingTumor characterizationMolecular imaging techniquesBrain metabolitesImaging of brain tumorsTumorTreatment efficacyClinical relevanceMetabolic imagingDiagnosed brain tumorsHigh-resolution metabolic imagingMetabolic heterogeneityTumor detectionMolecular imaging of brain tumorsLabel-free molecular imagingLabel-free molecular imaging techniqueNeurovascular imaging with QUTE-CE MRI in APOE4 rats reveals early vascular abnormalities
Leaston J, Ferris C, Kulkarni P, Chandramohan D, van de Ven A, Qiao J, Timms L, Sepulcre J, Fakhri G, Ma C, Normandin M, Gharagouzloo C. Neurovascular imaging with QUTE-CE MRI in APOE4 rats reveals early vascular abnormalities. PLOS ONE 2021, 16: e0256749. PMID: 34449808, PMCID: PMC8396782, DOI: 10.1371/journal.pone.0256749.Peer-Reviewed Original ResearchConceptsVascular abnormalitiesAPOE-e4Contrast-enhanced magnetic resonance imagingBlood-brain-barrier leakageNeurovascular dysfunctionSmall vessel abnormalitiesMagnetic resonance imagingTri-synaptic circuitBlood-brain-barrierCross-sectional studyFemale ratsSignificant signal increaseHyper-vascularizationCerebrovascular abnormalitiesVessel abnormalitiesNeurovascular imagingQUTE-CEBrain volumeAnimal modelsPathological causesAbnormalitiesHistological validationImaging modalitiesResonance imagingIn vivo imaging of mGlu5 receptor expression in humans with Fragile X Syndrome towards development of a potential biomarker
Mody M, Petibon Y, Han P, Kuruppu D, Ma C, Yokell D, Neelamegam R, Normandin M, Fakhri G, Brownell A. In vivo imaging of mGlu5 receptor expression in humans with Fragile X Syndrome towards development of a potential biomarker. Scientific Reports 2021, 11: 15897. PMID: 34354107, PMCID: PMC8342610, DOI: 10.1038/s41598-021-94967-y.Peer-Reviewed Original ResearchConceptsFragile X syndromeFragile X mental retardation proteinX syndromeLoss of fragile X mental retardation proteinMGlu5 receptor expressionMetabotropic glutamate subtype 5 receptorsDrug occupancy studiesSignificant group differencesFragile X mental retardationHealthy controlsAnterior cingulateMGluR5 availabilityVisuospatial processingMGlu5 receptorsOlfactory cortexBrain areasGroup differencesRetardation proteinGlutamate signalingImages of maleNeurodevelopmental disordersExcessive glutamate signalingGender-matched controlsDisordersMGluR5Quantification of Myocardial Mitochondrial Membrane Potential Using PET
Pelletier-Galarneau M, Detmer F, Petibon Y, Normandin M, Ma C, Alpert N, El Fakhri G. Quantification of Myocardial Mitochondrial Membrane Potential Using PET. Current Cardiology Reports 2021, 23: 70. PMID: 33970353, PMCID: PMC8443083, DOI: 10.1007/s11886-021-01500-8.Peer-Reviewed Original Research
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 scannersAttenuation correction using deep Learning and integrated UTE/multi-echo Dixon sequence: evaluation in amyloid and tau PET imaging
Gong K, Han P, Johnson K, El Fakhri G, Ma C, Li Q. Attenuation correction using deep Learning and integrated UTE/multi-echo Dixon sequence: evaluation in amyloid and tau PET imaging. European Journal Of Nuclear Medicine And Molecular Imaging 2020, 48: 1351-1361. PMID: 33108475, PMCID: PMC8411350, DOI: 10.1007/s00259-020-05061-w.Peer-Reviewed Original ResearchConceptsAttenuation correctionResultsThe Dice coefficientPseudo-CT imagesMR-based AC methodsAccurate ACAC accuracyPET imagingDice coefficientQuantitative accuracyAtlas methodAC methodGradient echoNear verticesTau imagingTau PET imagingAlzheimer's diseaseUltrashortCorrectionTau pathologyRapid acquisitionDeep learning methodsMonitoring of Alzheimer’s diseasePET/MRAmyloidAccelerated J‐resolved 1H‐MRSI with limited and sparse sampling of (‐space
Tang L, Zhao Y, Li Y, Guo R, Clifford B, Fakhri G, Ma C, Liang Z, Luo J. Accelerated J‐resolved 1H‐MRSI with limited and sparse sampling of (‐space. Magnetic Resonance In Medicine 2020, 85: 30-41. PMID: 32726510, PMCID: PMC7992196, DOI: 10.1002/mrm.28413.Peer-Reviewed Original ResearchIn 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 concentrationMR‐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
Arterial spin labeling MR image denoising and reconstruction using unsupervised deep learning
Gong K, Han P, Fakhri G, Ma C, Li Q. Arterial spin labeling MR image denoising and reconstruction using unsupervised deep learning. NMR In Biomedicine 2019, 35: e4224. PMID: 31865615, PMCID: PMC7306418, DOI: 10.1002/nbm.4224.Peer-Reviewed Original ResearchConceptsSignal-to-noise ratioImage denoisingReconstruction frameworkDeep learning-based image denoisingDeep learning-based denoisersMR image denoisingLearning-based denoisingLow signal-to-noise ratioK-space dataNoisy imagesTraining labelsTraining pairsNetwork inputNeural networkDenoisingIn vivo experiment dataSuperior performanceImaging speedReconstruction processImage qualityLong imaging timesNetworkFrameworkImagesSpatial resolutionBody 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
2018
SERIAL transmit – parallel receive (STxPRx) MR imaging produces acceptable proton image uniformity without compromising field of view or SAR guidelines for human neuroimaging at 9.4 Tesla
Thulborn K, Ma C, Sun C, Atkinson I, Claiborne T, Umathum R, Wright S, Liang Z. SERIAL transmit – parallel receive (STxPRx) MR imaging produces acceptable proton image uniformity without compromising field of view or SAR guidelines for human neuroimaging at 9.4 Tesla. Journal Of Magnetic Resonance 2018, 293: 145-153. PMID: 30012280, PMCID: PMC6084804, DOI: 10.1016/j.jmr.2018.05.009.Peer-Reviewed Original ResearchConceptsProton MR imagesMR images of human brainArrays of surface coilsImages of human brainSurface coil arrayHuman brain imagingImage uniformityField of viewExcitation profilesSAR guidelinesBirdcage coilFLASH pulse sequenceSensitivity correctionSodium MR imagingPulse sequenceAcceptable uniformityCoil arrayExcitationSignal-to-noiseProtonHigh-resolution imagesSurface coilParallel receiverCoilMR imaging
2017
A minimum-phase Shinnar-Le Roux spectral-spatial excitation RF pulse for simultaneous water and lipid suppression in 1H-MRSI of body extremities
Han P, Ma C, Deng K, Hu S, Jee K, Ying K, Chen Y, Fakhri G. A minimum-phase Shinnar-Le Roux spectral-spatial excitation RF pulse for simultaneous water and lipid suppression in 1H-MRSI of body extremities. Magnetic Resonance Imaging 2017, 45: 18-25. PMID: 28917812, PMCID: PMC5709164, DOI: 10.1016/j.mri.2017.09.008.Peer-Reviewed Original ResearchHigh‐resolution dynamic 31P‐MRSI using a low‐rank tensor model
Ma C, Clifford B, Liu Y, Gu Y, Lam F, Yu X, Liang Z. High‐resolution dynamic 31P‐MRSI using a low‐rank tensor model. Magnetic Resonance In Medicine 2017, 78: 419-428. PMID: 28556373, PMCID: PMC5562044, DOI: 10.1002/mrm.26762.Peer-Reviewed Original ResearchConceptsLow-rank tensorImage reconstructionHigh-resolution image reconstructionImage functionSubspace structureData acquisitionFrame-ratePursuit approachCorrelation of dataSubspaceK-space coverageK-spaceImagesSNRMathematical structureReconstructionHigh-resolutionModeling purposesIn vivo studiesMethodTensor