2024
Diffusion Model-Based Posterior Distribution Prediction for Kinetic Parameter Estimation in Dynamic PET
Djebra Y, Liu X, Marin T, Tiss A, Dhaynaut M, Guehl N, Johnson K, Fakhri G, Ma C, Ouyang J. Diffusion Model-Based Posterior Distribution Prediction for Kinetic Parameter Estimation in Dynamic PET. 2011 IEEE International Symposium On Biomedical Imaging: From Nano To Macro 2024, 00: 1-5. PMID: 39530051, PMCID: PMC11554386, DOI: 10.1109/isbi56570.2024.10635805.Peer-Reviewed Original ResearchPosterior distributions of kinetic parametersDenoising diffusion probabilistic modelHyperphosphorylated tauP-tauDiffusion probabilistic modelAlzheimer's diseaseNeurodegenerative diseasesKinetic parametersPosterior distributionInference efficiencyComputational needsEstimate kinetic parametersProbabilistic modelComputation time
2015
Fast Estimation of Image Variance for Time-of-flight PET Reconstruction
Wang M, Hu G, Fakhri G, Zhang H, Li Q. Fast Estimation of Image Variance for Time-of-flight PET Reconstruction. 2015, 1-4. DOI: 10.1109/nssmic.2015.7582040.Peer-Reviewed Original ResearchImage varianceMaximum likelihood expectation maximizationTOF-PETAhstract-The useLikelihood expectation maximizationFast algorithmExpectation maximizationReduction of computation timeComputation timeImage qualityMonte Carlo simulationsUniform diskFast estimationAlgorithmAnalytical expressionsCarlo simulationsVariance predictionImagesPET imagingPositron emission tomographyPhantomMaximization
2014
Pattern recognition for rapid T2 mapping with stimulated echo compensation
Huang C, Altbach M, Fakhri G. Pattern recognition for rapid T2 mapping with stimulated echo compensation. Magnetic Resonance Imaging 2014, 32: 969-974. PMID: 24853466, PMCID: PMC4099291, DOI: 10.1016/j.mri.2014.04.014.Peer-Reviewed Original Research
2007
Fast Analytical Modeling of Compton Scatter Using Point Clouds and Graphics Processing Unit (GPU)
Sitek A, Fakhri G, Ouyang J, Maltz J. Fast Analytical Modeling of Compton Scatter Using Point Clouds and Graphics Processing Unit (GPU). 2007, 6: 4546-4548. DOI: 10.1109/nssmic.2007.4437122.Peer-Reviewed Original ResearchGraphics processing unitsComputation timeProcessing unitPoint cloudsNVIDIA Quadro FXCalculation speedEfficient geometric modelingScattered point cloudExorbitant computation timeComputing architectureImage samplesImaging modelResolution levelsComputational frameworkComputerGraphicsComputer simulationsArchitectureRepresentationCloudImage volumesNatural advantagesComputational modelCompton scatteringAccurate model