2025
Flexible and modular PET: Evaluating the potential of TOF‐DOI panel detectors
Razdevšek G, Fakhri G, Marin T, Dolenec R, Orehar M, Chemli Y, Gola A, Gascon D, Majewski S, Pestotnik R. Flexible and modular PET: Evaluating the potential of TOF‐DOI panel detectors. Medical Physics 2025 PMID: 40089973, DOI: 10.1002/mp.17741.Peer-Reviewed Original ResearchDepth of interactionLong axial field-of-viewTime-of-flightPanel detectorHigh-performance computing clusterDepth-of-interaction resolutionNoise equivalent count rateDepth-of-interaction capabilityDepth-of-interaction detectorsAxial field-of-viewImage qualityTime-of-Flight (TOFDistortion-free imagesPositron emission tomography scannerLong axial fieldComputer clusterSpatial resolutionLSO crystalsImage reconstructionDetector materialCount rateGATE softwareContrast-to-noise ratioParallax errorMonte Carlo simulations
2024
Quantitative Accuracy Assessment of the NeuroEXPLORER for Diverse Imaging Applications: Moving Beyond Standard Evaluations.
Omidvari N, Shanina E, Leung E, Sun X, Li Y, Mulnix T, Gravel P, Henry S, Matuskey D, Volpi T, Jones T, Badawi R, Li H, Carson R, Qi J, Cherry S. Quantitative Accuracy Assessment of the NeuroEXPLORER for Diverse Imaging Applications: Moving Beyond Standard Evaluations. Journal Of Nuclear Medicine 2024, 66: 150-157. PMID: 39638433, PMCID: PMC11705792, DOI: 10.2967/jnumed.124.268309.Peer-Reviewed Original ResearchContrast recovery coefficientHoffman phantomUniform phantomIQ phantomRecovery coefficientBrain PET systemHoffman brain phantomBrain uptakeSpatial resolutionDiverse imaging applicationsCylindrical phantomPET systemBrain phantomNeuroimaging studiesImage qualityImaging conditionsPhantomReconstruction parametersImaging time pointsTime pointsImage-derived input functionHigher spatial resolutionQuantitative accuracyDelayed time pointsBrain disordersTranscranial optogenetic brain modulator for precise bimodal neuromodulation in multiple brain regions
Shin H, Nam M, Lee S, Yang S, Yang E, Jung J, Kim H, Woo J, Cho Y, Yoon Y, Cho I. Transcranial optogenetic brain modulator for precise bimodal neuromodulation in multiple brain regions. Nature Communications 2024, 15: 10423. PMID: 39613730, PMCID: PMC11607408, DOI: 10.1038/s41467-024-54759-0.Peer-Reviewed Original ResearchConceptsBrain regionsBrain modulesModulation of brain functionTranscranial brain stimulationMultiple brain regionsUpconversion particlesSymptoms of Parkinson's diseaseOptical crosstalkStudy of neural circuitsFood competition testBrain dysfunctionExternal light sourceLight sourcesBrain functionStudy of complex behaviorsSpatial resolutionNeural circuitsBrain disordersDevelopment of treatmentsOptogenetic techniquesBrain stimulationNeural populationsBrainParkinson's diseaseNeuromodulationMultimodality 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, 93: 536-549. PMID: 39402014, PMCID: PMC11606777, 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 optimisationForecasting galaxy cluster H i mass recovery with CHIME at redshifts z = 1 and 2 via the IllustrisTNG simulations
Polzin A, Newburgh L, Natarajan P, Chen H. Forecasting galaxy cluster H i mass recovery with CHIME at redshifts z = 1 and 2 via the IllustrisTNG simulations. Monthly Notices Of The Royal Astronomical Society 2024, 533: 1852-1864. DOI: 10.1093/mnras/stae1919.Peer-Reviewed Original ResearchCanadian Hydrogen Intensity Mapping ExperimentGalaxy clustersIntensity mapsFunction of redshiftIntensity Mapping ExperimentRedshift galaxy clustersGalaxy cluster catalogCluster member galaxiesH i contentNeutral hydrogen contentCluster catalogIntermediate redshiftsGalaxy populationNorthern skyRedshift z=1IllustrisTNG simulationsMember galaxiesStacking analysisPrimary beamGalaxiesRedshiftCross-correlationSpatial resolutionHydrogen fluxIllustrisTNGLearning Spatiotemporal Brain Dynamics in Adolescents via Multimodal MEG and fMRI Data Fusion Using Joint Tensor/Matrix Decomposition
Belyaeva I, Gabrielson B, Wang Y, Wilson T, Calhoun V, Stephen J, Adali T. Learning Spatiotemporal Brain Dynamics in Adolescents via Multimodal MEG and fMRI Data Fusion Using Joint Tensor/Matrix Decomposition. IEEE Transactions On Biomedical Engineering 2024, 71: 2189-2200. PMID: 38345949, PMCID: PMC11240882, DOI: 10.1109/tbme.2024.3364704.Peer-Reviewed Original ResearchSpatiotemporal brain dynamicsBrain dynamicsFunctional magnetic resonance imagingComplex spatiotemporal dynamicsStudy brain functionSpatial resolutionMillisecond scaleBrain functionTemporal resolutionBrain patternsHigh-level cognitive functionsBrain response patternsDynamicsSpatiotemporal dynamicsSensory processing pathwaysMagnetoencephalographyLow-performing subjectsResolutionPerformance Characteristics of the NeuroEXPLORER, a Next-Generation Human Brain PET/CT Imager
Li H, Badawi R, Cherry S, Fontaine K, He L, Henry S, Hillmer A, Hu L, Khattar N, Leung E, Li T, Li Y, Liu C, Liu P, Lu Z, Majewski S, Matuskey D, Morris E, Mulnix T, Omidvari N, Samanta S, Selfridge A, Sun X, Toyonaga T, Volpi T, Zeng T, Jones T, Qi J, Carson R. Performance Characteristics of the NeuroEXPLORER, a Next-Generation Human Brain PET/CT Imager. Journal Of Nuclear Medicine 2024, 65: jnumed.124.267767. PMID: 38871391, PMCID: PMC11294061, DOI: 10.2967/jnumed.124.267767.Peer-Reviewed Original ResearchPeak noise-equivalent count rateNoise-equivalent count rateTime-of-flight resolutionField of viewCount rateExtended axial field-of-viewTransverse field-of-viewAxial field-of-viewField-of-view centerMini-Derenzo phantomSpatial resolutionTangential spatial resolutionsCount rate performanceContrast recovery coefficientHuman brain PET imagingMeasurements of spatial resolutionNEMA sensitivityEnergy resolutionScatter fractionBrain phantomBackprojection reconstructionBrain PET imagingTime resolutionRadial offsetF-FDG imagingDesign and development of the DE-SPECT system: a clinical SPECT system for broadband multi-isotope imaging of peripheral vascular disease
Zannoni E, Sankar P, Jin Y, Liu C, Sinusas A, Metzler S, Meng L. Design and development of the DE-SPECT system: a clinical SPECT system for broadband multi-isotope imaging of peripheral vascular disease. Physics In Medicine And Biology 2024, 69: 125016. PMID: 38815617, PMCID: PMC11167601, DOI: 10.1088/1361-6560/ad5266.Peer-Reviewed Original ResearchConceptsCadmium zinc tellurideSPECT systemField of viewExcellent spectroscopic performanceExcellent energy resolutionBroad energy rangeIntrinsic spatial resolutionSpatial resolutionClinical SPECT systemEnergy resolutionPeripheral vascular diseaseEnergy rangeMm FWHMSpectroscopic performanceZinc tellurideWide-FOVCollimatorPreliminary experimental dataPartial ringDetection systemImaging capabilitiesImaging performanceExtremity imagingVascular diseaseScout imagesMovable Linear Gradients Optimized on Non-Planar B0 Slice Profiles Used for Improving Spatial Encoding in a Non-Linear Low-Field MRI
Samardzija A, Ha Y, Sun C, Sun H, Gross R, Galiana G, Constable R. Movable Linear Gradients Optimized on Non-Planar B0 Slice Profiles Used for Improving Spatial Encoding in a Non-Linear Low-Field MRI. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2024 DOI: 10.58530/2024/4076.Peer-Reviewed Original ResearchUnraveling near real-time spatial dynamics of population using geographical ensemble learning
Song Y, Wu S, Chen B, Bell M. Unraveling near real-time spatial dynamics of population using geographical ensemble learning. International Journal Of Applied Earth Observation And Geoinformation 2024, 130: 103882. PMID: 38938876, PMCID: PMC11210339, DOI: 10.1016/j.jag.2024.103882.Peer-Reviewed Original ResearchGeospatial dataHourly time seriesOpen-source geospatial dataGlobal change studiesGeospatial big dataSpatio-temporal heterogeneityUrban planningSpatial non-stationarityChange studiesPopulation spatializationSpatial disaggregationDisaster reductionSeamless mapTime seriesSpatial scalesTemporal resolutionPopulation mapsSpatial resolutionNon-stationarityRoot-mean-square deviationPopulation distributionPopulation prediction modelSpatial dynamicsAdvanced machine learning modelsSpatial statisticsSIFT-DBT: Self-Supervised Initialization and Fine-Tuning for Imbalanced Digital Breast Tomosynthesis Image Classification
Du Y, Hooley R, Lewin J, Dvornek N. SIFT-DBT: Self-Supervised Initialization and Fine-Tuning for Imbalanced Digital Breast Tomosynthesis Image Classification. 2011 IEEE International Symposium On Biomedical Imaging: From Nano To Macro 2024, 00: 1-5. PMID: 39263046, PMCID: PMC11386909, DOI: 10.1109/isbi56570.2024.10635723.Peer-Reviewed Original ResearchHigh‐resolution extracellular pH imaging of liver cancer with multiparametric MR using Deep Image Prior
Dong S, Shewarega A, Chapiro J, Cai Z, Hyder F, Coman D, Duncan J. High‐resolution extracellular pH imaging of liver cancer with multiparametric MR using Deep Image Prior. NMR In Biomedicine 2024, 37: e5145. PMID: 38488205, DOI: 10.1002/nbm.5145.Peer-Reviewed Original ResearchDeep Image PriorU-NetUnsupervised deep learning techniquesU-Net parametersDeep learning techniquesHigh-resolution ground truthU-Net architectureSuper-resolution imagingImage priorsSuper-resolutionGround truthMean absolute errorDeepSpatial resolutionPostprocessing methodDeep imagingAbsolute errorImagesAnatomical MR imagesMR spectroscopic imagingAnatomical informationSpectroscopic imagingInformationAcquisition timeErrorIntegrating wastewater and randomised prevalence survey data for national COVID surveillance
Li G, Diggle P, Blangiardo M. Integrating wastewater and randomised prevalence survey data for national COVID surveillance. Scientific Reports 2024, 14: 5124. PMID: 38429366, PMCID: PMC10907376, DOI: 10.1038/s41598-024-55752-9.Peer-Reviewed Original ResearchConceptsPrevalence dataPrevalence surveySurveillance systemCollection of health dataDisease prevalenceMeasures of prevalenceLocal disease prevalenceWastewaterSpatial resolutionWastewater dataPrevalence survey dataHealth dataReduced scaleDisease metricsCoarser spatial resolutionDisease-agnosticPrevalenceCOVID-19 pandemicSurveillance toolPost-pandemic settingEarly detectionNon-epidemic periodsCost-effective mannerSurveyDetect outbreaksEncoding scheme design for gradient-free, nonlinear projection imaging using Bloch-Siegert RF spatial encoding in a low-field, open MRI system
Selvaganesan K, Ha Y, Sun H, Zhang Z, Sun C, Samardzija A, Galiana G, Constable R. Encoding scheme design for gradient-free, nonlinear projection imaging using Bloch-Siegert RF spatial encoding in a low-field, open MRI system. Scientific Reports 2024, 14: 3307. PMID: 38332252, PMCID: PMC10853509, DOI: 10.1038/s41598-024-53703-y.Peer-Reviewed Original ResearchConceptsBloch-SiegertSpatial encodingBloch-Siegert shiftGradient-freeLow-field imagesLow fieldsProjection imagesPhase shiftLoop coilEncoding settingsEncoding schemeEncoding trajectoriesLow-field MR imagingSpatial resolutionImage reconstructionOptimization algorithmEncodingMRI systemShift effectHardware setupMR systemOpen MRI systemScheme designAlgorithmImages
2023
Markerless head motion tracking and event-by-event correction in brain PET
Zeng T, Lu Y, Jiang W, Zheng J, Zhang J, Gravel P, Wan Q, Fontaine K, Mulnix T, Jiang Y, Yang Z, Revilla E, Naganawa M, Toyonaga T, Henry S, Zhang X, Cao T, Hu L, Carson R. Markerless head motion tracking and event-by-event correction in brain PET. Physics In Medicine And Biology 2023, 68: 245019. PMID: 37983915, PMCID: PMC10713921, DOI: 10.1088/1361-6560/ad0e37.Peer-Reviewed Original ResearchConceptsPoint source studyHead motion correctionSmaller residual displacementMotion correctionIterative closest point (ICP) registration algorithmHead motion trackingSpatial resolutionResidual displacementData-driven evaluation methodHigh spatial resolutionLow noiseMotion trackingStereovision cameraMotion tracking deviceStructured lightEvent correctionBrain positron emission tomography (PET) imagingTracking deviceReconstruction resultsHMT methodPoint cloudsNegative biasReference cloudUMTEvaluation methodSimulation 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 rods
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