2023
Arterial spin labeled perfusion imaging with balanced steady-state free precession readout and radial sampling
Han P, Marin T, Zhuo Y, Ouyang J, El Fakhri G, Ma C. Arterial spin labeled perfusion imaging with balanced steady-state free precession readout and radial sampling. Magnetic Resonance Imaging 2023, 102: 126-132. PMID: 37187264, PMCID: PMC10524790, DOI: 10.1016/j.mri.2023.05.005.Peer-Reviewed Original ResearchConceptsOff-resonance effectsBalanced steady-state free precessionPhase-cycling techniqueTemporal SNRBalanced steady-state free precession acquisitionRadial sampling schemeSpoiled gradient-recalled acquisitionRadial samplingCartesian sampling schemeBalanced steady-state free precession readoutK-space dataSampling schemeSpin labelingSteady-state free precessionK-spaceImage readoutBanding artifactsMotion-related artifactsReadoutFree precessionArterial spin labelingImage reconstructionParallel imagingImaging timePerfusion-weighted imaging
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 ResearchConceptsPeak 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 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
Investigation of control scans in pseudo‐continuous arterial spin labeling (pCASL): Strategies for improving sensitivity and reliability of pCASL
Han P, Choi S, Park S. Investigation of control scans in pseudo‐continuous arterial spin labeling (pCASL): Strategies for improving sensitivity and reliability of pCASL. Magnetic Resonance In Medicine 2016, 78: 917-929. PMID: 27690322, DOI: 10.1002/mrm.26474.Peer-Reviewed Original Research
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 ResearchConceptsSignal-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 resolutionImages