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 resolution
2016
Direct Parametric Imaging of Reversible Tracers Using Partial Dynamic Data
Kim K, Fakhri G, Li Q. Direct Parametric Imaging of Reversible Tracers Using Partial Dynamic Data. 2016, 1-4. DOI: 10.1109/nssmic.2016.8069385.Peer-Reviewed Original Research
2015
Penalized Direct Estimation of Parametric Images in PET
Kim K, Fakhri G, Li Q. Penalized Direct Estimation of Parametric Images in PET. 2015, 1-4. DOI: 10.1109/nssmic.2015.7582182.Peer-Reviewed Original ResearchAlternating direction methodDirection methodHigh noise varianceIterative reconstruction processKinetic parameter imagesTV regularizationNoise varianceDirect reconstructionPhysiological kinetic parametersDirection estimationReconstruction processNeighboring voxelsCost functionRidge regressionRaw measurementsConventional direct methodComputer simulationsDynamic imagingSplitting methodKinetic parametersImagesBrain phantomAccurate parametric imagesPoisson likelihoodPotential images