2017
Iterative Low-Dose CT Reconstruction With Priors Trained by Artificial Neural Network
Wu D, Kim K, Fakhri G, Li Q. Iterative Low-Dose CT Reconstruction With Priors Trained by Artificial Neural Network. IEEE Transactions On Medical Imaging 2017, 36: 2479-2486. PMID: 28922116, PMCID: PMC5897914, DOI: 10.1109/tmi.2017.2753138.Peer-Reviewed Original ResearchConceptsArtificial neural networkIterative reconstruction algorithmNeural networkLow-dose CT reconstructionReconstruction algorithmUnsupervised feature learningReconstructed imagesFeatures of imagesImprove reconstruction qualityNormal-dose imagesDecreasing radiation riskDevelopment of artificial neural networksFeature learningComplex featuresAuto-encoderReconstruction qualityData fidelityMachine learningSuppress noiseSmoothness constraintPhoton fluxPreservation abilityGrand ChallengeNoise reductionPriors
2011
Nonrigid PET motion compensation in the lower abdomen using simultaneous tagged‐MRI and PET imaging
Guérin B, Cho S, Chun S, Zhu X, Alpert N, Fakhri G, Reese T, Catana C. Nonrigid PET motion compensation in the lower abdomen using simultaneous tagged‐MRI and PET imaging. Medical Physics 2011, 38: 3025-3038. PMID: 21815376, PMCID: PMC3125080, DOI: 10.1118/1.3589136.Peer-Reviewed Original ResearchConceptsPET-MRI acquisitionsMotion correctionPET motion compensationPET motion correctionRespiratory motion correctionMotion-corrected reconstructionMotion correction strategiesWhole-body PET studiesSignal-to-noise ratioPET reconstruction algorithmDeformable phantomNCAT phantomEffects of motionAttenuation mapDetected coincidencesPET-MRIGated framesBrain scannerSimulations of tumorsSignal-to-noisePhantomSusceptibility artifactsReconstruction algorithmPhase domainsNonrigid deformation
2002
Optimization of Ga‐67 imaging for detection and estimation tasks: Dependence of imaging performance on spectral acquisition parameters
Fakhri G, Moore S, Kijewski M. Optimization of Ga‐67 imaging for detection and estimation tasks: Dependence of imaging performance on spectral acquisition parameters. Medical Physics 2002, 29: 1859-1866. PMID: 12201433, DOI: 10.1118/1.1493214.Peer-Reviewed Original ResearchConceptsIdeal signal-to-noise ratioEnergy windowSignal-to-noise ratioMonte Carlo programDetection of spheresTorso phantomPhantom acquisitionsSphere of radiusEstimation taskPhantom dataLower-energyGa-67 imagingPhantomAcquisition parametersActivity concentrationsSpectral acquisition parametersGa-67Sphere sizeEnergyPhotopeakTumor imagingOptimal windowTaskClinicMonte