2024
Multimodality Molecular Imaging of Brain Tumor Using Simultaneous [18F]FET-PET/MRSI
Ma C, Han P, Marin T, Zhuo Y, Shih H, Fakhri G. Multimodality Molecular Imaging of Brain Tumor Using Simultaneous [18F]FET-PET/MRSI. 2024, 00: 1-2. DOI: 10.1109/nss/mic/rtsd57108.2024.10656528.Peer-Reviewed Original ResearchList-mode dataMR spectroscopic imagingSpatial resolutionAccurate brain tumor delineationMR physicsIsotropic resolutionBrain tumor delineationImprove treatment planningSpectroscopic imagingTumor delineationSignal-to-noise ratioIntact blood-brain barrierImaging speedAmino acid radiotracerImaging timeMR signalHigher proliferation activityStructural MRTreatment planningBlood-brain barrierMR spectroscopic imaging dataMolecular imaging of brain tumorsTumor involvementTumor infiltrationTumor marginsPET motion correction using subspace-based real-time MR imaging in simultaneous PET/MR
Mounime I, Marin T, Han P, Ouyang J, Gori P, Angelini E, Fakhri G, Ma C. PET motion correction using subspace-based real-time MR imaging in simultaneous PET/MR. 2024, 00: 1-1. DOI: 10.1109/nss/mic/rtsd57108.2024.10657647.Peer-Reviewed Original ResearchOrdered-subset expectation maximizationMotion correctionGated reconstructionsMotion-corrected PET reconstructionsPET eventsCardiac motion phasesMotion correction methodCardiac motionMotion phaseReconstructed dynamic imagesPET reconstructionReal-time MR imagingSimultaneous PET/MRPatient motionSoft tissue contrastDynamic MR image reconstructionReference phaseMitigate artifactsLow-rank propertyMR image reconstructionPositron emission tomographyManifold learning frameworkSpatial resolutionBlurring artifactsImage reconstructionFree‐breathing 3D cardiac extracellular volume (ECV) mapping using a linear tangent space alignment (LTSA) model
Lee W, Han P, Marin T, Mounime I, Eslahi S, Djebra Y, Chi D, Bijari F, Normandin M, Fakhri G, Ma C. Free‐breathing 3D cardiac extracellular volume (ECV) mapping using a linear tangent space alignment (LTSA) model. Magnetic Resonance In Medicine 2024 PMID: 39402014, DOI: 10.1002/mrm.30284.Peer-Reviewed Original ResearchExtracellular volume mappingContrast agent injectionExtracellular volumeGradient echo readoutECV mapsAgent injectionWhole heartEcho readoutExtracellular volume valuesVoxel-by-voxelInversion recovery sequenceSpatial resolutionScan timeImaging timeIn vivo studiesHealthy volunteersModel-based methodsRecovery sequenceInjectionReadoutDesign Optimisation of a Flat-Panel, Limited-Angle TOF-PET Scanner: A Simulation Study
Orehar M, Dolenec R, Fakhri G, Korpar S, Križan P, Razdevšek G, Marin T, Žontar D, Pestotnik R. Design Optimisation of a Flat-Panel, Limited-Angle TOF-PET Scanner: A Simulation Study. Diagnostics 2024, 14: 1976. PMID: 39272760, PMCID: PMC11487429, DOI: 10.3390/diagnostics14171976.Peer-Reviewed Original ResearchTime-of-flight positron emission tomographyTOF-PET scannerNEMA NU 2Evaluate spatial resolutionPET detectorsNU 2Scintillation materialsBiograph VisionRing scannerLimited-angleScanner designReadout levelsPoint sourcesFlat panel geometryClinical scannerSpatial resolutionReadout strategySingle-crystalImage qualityScintillationScannerFlat panelDesign parametersDetectorDesign optimisation
2023
Simulation results for limited-angle ultra-high time-of-flight resolution PET system
Marin T, Zhuo Y, Orehar M, Razdevšekc G, Dolenec R, Mounime I, Alamo J, Benlloch J, Chemli Y, Fernández-Tenllado J, Gascon D, Gola A, Gomez S, Grogg K, Guberman D, Korpar S, Krizan P, Majewski S, Manera R, Mariscal-Castilla A, Mauricio J, Merzi S, Morera C, Normandin M, Pavon G, Penna M, Seljak A, Studen A, Pestotnik R, Fakhri G. Simulation results for limited-angle ultra-high time-of-flight resolution PET system. 2023, 00: 1-1. DOI: 10.1109/nssmicrtsd49126.2023.10337821.Peer-Reviewed Original ResearchResolution PET systemsPET systemAxial fieldPositron emission tomography systemPositron emission tomography scannerTotal-body PET systemsLong axial fieldTOF resolutionNovel detectorNumerical phantomHigh-sensitivity systemMonte-Carlo simulationsSpatial resolutionPositron emission tomographyMonte-CarloSystem sensitivityImage resolutionImage qualityScintillationReconstruction engineFWHMResolutionTOFPhantomScannerImaging Performance of the Fully Assembled Ultra-High Resolution (UHR) Brain PET scanner
Loignon-Houle F, Toussaint M, Beaudoin J, Gaudreault M, Doyon V, Leroux J, Auger E, Thibaudeau C, Arpin L, Croteau E, Espinosa-Bentancourt E, Samson A, Bouchard J, Espagnet R, Viscogliosi N, Pepin C, Labrecque V, Paulin C, Marin T, Ouyang J, Normandin M, Tétrault M, Michaud J, Fontaine R, Fakhri G, Lecomte R. Imaging Performance of the Fully Assembled Ultra-High Resolution (UHR) Brain PET scanner. 2023, 00: 1-1. DOI: 10.1109/nssmicrtsd49126.2023.10338146.Peer-Reviewed Original ResearchBrain PET scannerUltra-high resolutionPET scannerPeak noise-equivalent count rateUltra Micro Hot Spot PhantomNoise-equivalent count rateAxial field-of-viewHot spot phantomHoffman brain phantomSmall-scale structuresCount rateBrain phantomContrast recoveryReadout schemeField of viewBrain PET imagingPhantomExcellent image qualityImaging performanceSpatial resolutionSmall structuresUltrahigh resolutionImage qualityPET imagingLarger rodsSuper-resolution in brain positron emission tomography using a real-time motion capture system
Chemli Y, Tétrault M, Marin T, Normandin M, Bloch I, El Fakhri G, Ouyang J, Petibon Y. Super-resolution in brain positron emission tomography using a real-time motion capture system. NeuroImage 2023, 272: 120056. PMID: 36977452, PMCID: PMC10122782, DOI: 10.1016/j.neuroimage.2023.120056.Peer-Reviewed Original ResearchConceptsBrain positron emission tomographySuper-resolutionEvent-by-event basisReal-time motion capture systemSR reconstruction methodTracking cameraVisualization of small structuresPET reconstruction algorithmMoving phantomMeasure target motionLine profilesPET/CT scannerMeasured shiftsImprove image resolutionMotion capture systemMotion tracking devicePositron emission tomographyReconstruction algorithmSpatial resolutionMeasured linesPhantomReal-timeEstimation frameworkIncreased spatial resolutionReconstruction method
2022
Manifold Learning via Linear Tangent Space Alignment (LTSA) for Accelerated Dynamic MRI With Sparse Sampling
Djebra Y, Marin T, Han P, Bloch I, Fakhri G, Ma C. Manifold Learning via Linear Tangent Space Alignment (LTSA) for Accelerated Dynamic MRI With Sparse Sampling. IEEE Transactions On Medical Imaging 2022, 42: 158-169. PMID: 36121938, PMCID: PMC10024645, DOI: 10.1109/tmi.2022.3207774.Peer-Reviewed Original ResearchConceptsSpace alignmentSampled k-space dataState-of-the-art methodsIntrinsic low-dimensional manifold structureNumerical simulation studyLow-dimensional manifold structureState-of-the-artLinear subspace modelSparsity modelModel-based frameworkSubspace modelManifold structureMathematical modelManifold modelSparse samplingImage reconstructionMRI applicationsDynamic magnetic resonance imagingSpatiotemporal signalsSpatial resolutionPerformanceSimulation studyImagesMethodSparsityFree-running Simultaneous 3D Cardiac T1 Mapping and Cine Imaging Using a Linear Tangent Space Alignment Model
Djebra Y, Marin T, Han P, Bloch I, Fakhri G, Ma C. Free-running Simultaneous 3D Cardiac T1 Mapping and Cine Imaging Using a Linear Tangent Space Alignment Model. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2022 DOI: 10.58530/2022/4440.Peer-Reviewed Original Research
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 sequenceFirst Investigation of List mode MLEM Reconstruction for Fast DC-SPECT System Design Optimization
Feng Y, Bläckberg L, Fakhri G, Worstell W, Sabet H. First Investigation of List mode MLEM Reconstruction for Fast DC-SPECT System Design Optimization. 2021, 00: 1-3. DOI: 10.1109/nss/mic44867.2021.9875864.Peer-Reviewed Original ResearchFWHM spatial resolutionCorrection of scatterAsymmetric geometryMaximum likelihood expectation maximizationLikelihood expectation maximizationSystem's imaging resolutionLM-MLEMMonte Carlo implementationMLEM reconstructionDetector headMonte-CarloSystem matrix modelSimultaneous high resolutionDesign optimizationCardiac SPECTMatrix modelSystem resolutionMC methodSpatial resolutionSystem design optimizationImage reconstructionDynamic cardiac SPECTDesign iterationsSystem sensitivityImage resolutionMultipanel Limited Angle PET System With 50 ps FWHM Coincidence Time Resolution: A Simulation Study
Razdevšek G, Dolenec R, Križan P, Majewski S, Studen A, Korpar S, Fakhri G, Pestotnik R. Multipanel Limited Angle PET System With 50 ps FWHM Coincidence Time Resolution: A Simulation Study. IEEE Transactions On Radiation And Plasma Medical Sciences 2021, 6: 721-730. DOI: 10.1109/trpms.2021.3115704.Peer-Reviewed Original ResearchPET systemFWHM coincidence timing resolutionCoincidence time resolutionLutetium oxyorthosilicate crystalsExtended cardiac-torsoFlat-panel detectorClinical PET/CT scannerSpatial resolutionDerenzo phantomPlanar detectorsCount rateScanner geometryCardiac-torsoHot-rodDetection efficiencyParallax errorLow detection efficiencyIncreasing crystal lengthPET/CT scannerTime resolutionImage qualityScanner designAngular coverageFWHMCrystal length
2020
Positron annihilation localization by nanoscale magnetization
Gholami Y, Yuan H, Wilks M, Josephson L, El Fakhri G, Normandin M, Kuncic Z. Positron annihilation localization by nanoscale magnetization. Scientific Reports 2020, 10: 20262. PMID: 33219274, PMCID: PMC7680104, DOI: 10.1038/s41598-020-76980-9.Peer-Reviewed Original ResearchConceptsNanoscale magnetsSpatial resolution of PET imagesImproved dose localizationPositron emitting sourcesResolution of PET imagesPositron emission tomography instrumentationSpatial resolutionPositron emission tomographyAnnihilation quantaPhoton pairsPositron rangeDose localizationPositron annihilationCharged particlesOrtho-positroniumAnnihilationSuperparamagnetic iron oxide nanoparticlesCancer theranostic strategyPositron emission tomography scanPositronElectronic placesImage blurringPET imagingPET-MRITreatment outcomesA Radio-Nano-Platform for T1/T2 Dual-Mode PET-MR Imaging
Gholami Y, Yuan H, Wilks M, Maschmeyer R, Normandin M, Josephson L, Fakhri G, Kuncic Z. A Radio-Nano-Platform for T1/T2 Dual-Mode PET-MR Imaging. International Journal Of Nanomedicine 2020, 15: 1253-1266. PMID: 32161456, PMCID: PMC7049573, DOI: 10.2147/ijn.s241971.Peer-Reviewed Original ResearchConceptsLine spread functionPET-MR imagingSignal-to-noise ratioFull-width half-maximum (FWHMPET-MRHalf-maximum (FWHMSpatial resolutionTransmission electron microscopyImage quality gainSimultaneous positron emission tomographyContrast-enhanced diagnostic imagingAtom adsorptionPhantom imagesPositron emission tomographySpatial resolution of MRHybrid PET-MRRadio-isotopesSpread functionMulti-modal imaging techniquesSensitivity of positron emission tomographyMagnetic resonanceCo-registeredTransmission electron microscopy analysisSuper paramagnetic iron oxide nanoparticlesContrast agents
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 resolutionMR-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 artifactsExploring light confinement in laser-processed LYSO:Ce for photon counting CT application
Bläckberg L, Sajedi S, Mandl S, Mohan A, Vittum B, Fakhri G, Sabet H. Exploring light confinement in laser-processed LYSO:Ce for photon counting CT application. Physics In Medicine And Biology 2019, 64: 095020. PMID: 30897557, PMCID: PMC7191943, DOI: 10.1088/1361-6560/ab1213.Peer-Reviewed Original ResearchConceptsLaser induced optical barriersPhoton counting detectorsLight collection efficiencyCrystal pixelsLYSO:Ce detectorsHigh dose efficiencyPixel arrayCounting detectorsDetector designDose efficiencyOptical barrierPd edgePhotodetector (PDRough interfaceIncreased cross-talkCE detectorCT applicationsDetectorLaser ablationPixel sizeConfinementSmooth ablationLYSOSpatial resolutionCollection efficiencyPET Image Deblurring and Super-Resolution With an MR-Based Joint Entropy Prior
Song T, Yang F, Chowdhury S, Kim K, Johnson K, Fakhri G, Li Q, Dutta J. PET Image Deblurring and Super-Resolution With an MR-Based Joint Entropy Prior. IEEE Transactions On Computational Imaging 2019, 5: 530-539. PMID: 31723575, PMCID: PMC6853071, DOI: 10.1109/tci.2019.2913287.Peer-Reviewed Original ResearchContrast-to-noise ratioStructural similarity indexHoffman phantomImage deblurringDigital phantomPhantom studyPeak signal-to-noise ratioSuper-resolution frameworkQuantitative accuracySimilarity indexSignal-to-noise ratioSpatial resolutionPhantomImage quantitationSuper-resolutionTau imaging studiesImage qualityPET imagingDeblurringHigh-resolution MR imagingRoot mean square errorSimulation studyBrainWebPost-processingPenalty function
2017
Partial volume correction for PET quantification and its impact on brain network in Alzheimer’s disease
Yang J, Hu C, Guo N, Dutta J, Vaina L, Johnson K, Sepulcre J, Fakhri G, Li Q. Partial volume correction for PET quantification and its impact on brain network in Alzheimer’s disease. Scientific Reports 2017, 7: 13035. PMID: 29026139, PMCID: PMC5638902, DOI: 10.1038/s41598-017-13339-7.Peer-Reviewed Original ResearchConceptsQuantitative accuracy of PET imagesSpatial resolution of PET scannersAccuracy of PET imagesPET scannerBrain networksPET imagingQuantitative accuracyPartial volume effectsClassification performanceImage registrationPositron emission tomography quantificationPartial volume correctionSpatial resolutionJoint entropyVolume correctionNetwork structure analysisCorrected imagesVolume effectClinical datasetsParameter settingsPositron emission tomographyClassification testsCompare network propertiesNoise sensitivityGATE simulation of a new design of pinhole SPECT system for small animal brain imaging
Ozsahin D, Bläckberg L, Fakhri G, Sabet H. GATE simulation of a new design of pinhole SPECT system for small animal brain imaging. Journal Of Instrumentation 2017, 12: c01085-c01085. DOI: 10.1088/1748-0221/12/01/c01085.Peer-Reviewed Original ResearchFWHM spatial resolutionDetector modulesSPECT systemNEMA NU-4 protocolImage quality simulationsIntrinsic detector resolutionSpatial resolutionPinhole SPECT systemSmall-animal SPECT imagingAnimal SPECT imagingStationary SPECT systemAnimal brain imagingSmall animal brain imagingSmall animal imagingDetector resolutionSPECT detectorGATE simulationsDetector sizeSystem sensitivityPhantom evaluationResolution recoveryFOV sizeDetectorAnimal imagingFWHM