2022
Unsupervised arterial spin labeling image superresolution via multiscale generative adversarial network
Cui J, Gong K, Han P, Liu H, Li Q. Unsupervised arterial spin labeling image superresolution via multiscale generative adversarial network. Medical Physics 2022, 49: 2373-2385. PMID: 35048390, DOI: 10.1002/mp.15468.Peer-Reviewed Original ResearchMeSH KeywordsArtifactsHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingSignal-To-Noise RatioSpin LabelsConceptsPeak signal-to-noise ratioStructural similarity indexNearest neighbor interpolationSignal-to-noise ratioTrilinear interpolationNeighbor interpolationAblation studiesB-spline interpolationLow-pass-filterLayer-by-layer trainingLoss termLow resolutionClearer structure boundariesLow signal-to-noise ratioIn vivo datasetsImage superresolutionGAN frameworkAdversarial networkB-spline interpolation methodReduce image noiseWeak labelsPrior informationSimilarity indexDipping methodSimulated data
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 ResearchMeSH KeywordsBrainDeep LearningHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingSignal-To-Noise RatioSpin LabelsConceptsSignal-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
2015
Whole‐brain perfusion imaging with balanced steady‐state free precession arterial spin labeling
Han P, Ye J, Kim E, Choi S, Park S. Whole‐brain perfusion imaging with balanced steady‐state free precession arterial spin labeling. NMR In Biomedicine 2015, 29: 264-274. PMID: 26676386, DOI: 10.1002/nbm.3463.Peer-Reviewed Original ResearchMeSH KeywordsAdultBrainCerebrovascular CirculationHumansImaging, Three-DimensionalMalePerfusionSignal-To-Noise RatioSpin LabelsYoung AdultConceptsSignal-to-noise ratioBalanced steady-state free precessionTotal scan timeCompressive sensingReduced susceptibility artifactsPerfusion imagingWhole-brain perfusion imagingScan timeSusceptibility artifactsPseudo-continuous ASLReadout timeCS approachSteady-state free precessionAcquisition of perfusion imagesSegmentation approachFree precessionBSSFP readoutArterial spin labeling (ASL) perfusionSpatial resolutionImage qualityDistortion-freeReadoutHigh-resolutionTemporal resolutionImagesPhysiological and Functional Magnetic Resonance Imaging Using Balanced Steady-state Free Precession
Park S, Han P, Choi S. Physiological and Functional Magnetic Resonance Imaging Using Balanced Steady-state Free Precession. Korean Journal Of Radiology 2015, 16: 550-559. PMID: 25995684, PMCID: PMC4435985, DOI: 10.3348/kjr.2015.16.3.550.Peer-Reviewed Original ResearchMeSH KeywordsCervical VertebraeHeadHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingRadiographySignal-To-Noise Ratio