2019
PET 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
Joint reconstruction of Ictal/inter‐ictal SPECT data for improved epileptic foci localization
Rakvongthai Y, Fahey F, Borvorntanajanya K, Tepmongkol S, Vutrapongwatana U, Zukotynski K, Fakhri G, Ouyang J. Joint reconstruction of Ictal/inter‐ictal SPECT data for improved epileptic foci localization. Medical Physics 2017, 44: 1437-1444. PMID: 28211105, PMCID: PMC5462456, DOI: 10.1002/mp.12167.Peer-Reviewed Original ResearchConceptsSPECT reconstruction methodDifferential imagingLow-noise datasetConventional subtraction methodLesion contrastSPECT projection dataEpileptic focus localizationHoffman phantomPatient studiesReconstruction methodJoint methodSPECT projectionsHead phantomPhantom locationsSubtraction methodPhantom studyNuclear medicine physiciansAttenuation backgroundPhantomConventional subtraction approachFocus localizationConventional subtractionReceiver operating characteristicLow noiseProjection data
2014
MR‐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 artifacts
2010
MRI-Assisted PET Motion Correction for Neurologic Studies in an Integrated MR-PET Scanner
Catana C, Benner T, van der Kouwe A, Byars L, Hamm M, Chonde D, Michel C, Fakhri G, Schmand M, Sorensen A. MRI-Assisted PET Motion Correction for Neurologic Studies in an Integrated MR-PET Scanner. Journal Of Nuclear Medicine 2010, 52: 154-161. PMID: 21189415, PMCID: PMC3125596, DOI: 10.2967/jnumed.110.079343.Peer-Reviewed Original ResearchConceptsLines of responseMotion correctionPET motion correctionRigid-body motion correctionMC algorithmPET volumesQuantitative accuracyMR-PET scannersPET image qualityScatter sinogramEcho-planar imagingHoffman phantomSinogram spaceList-modeRandom coincidencesMotion tracking techniquePrototype scannerPhantom volumeImage qualityMR-PETMC methodPET dataSinogramPhantomVolunteer studies