2022
Manifold Learning via Linear Tangent Space Alignment (LTSA) for Accelerated Dynamic MRI With Sparse Sampling
Djebra Y, Marin T, Han P, Bloch I, Fakhri G, Ma C. Manifold Learning via Linear Tangent Space Alignment (LTSA) for Accelerated Dynamic MRI With Sparse Sampling. IEEE Transactions On Medical Imaging 2022, 42: 158-169. PMID: 36121938, PMCID: PMC10024645, DOI: 10.1109/tmi.2022.3207774.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsComputer SimulationImage Processing, Computer-AssistedMagnetic Resonance ImagingModels, TheoreticalConceptsSpace alignmentSampled k-space dataState-of-the-art methodsIntrinsic low-dimensional manifold structureNumerical simulation studyLow-dimensional manifold structureState-of-the-artLinear subspace modelSparsity modelModel-based frameworkSubspace modelManifold structureMathematical modelManifold modelSparse samplingImage reconstructionMRI applicationsDynamic magnetic resonance imagingSpatiotemporal signalsSpatial resolutionPerformanceSimulation studyImagesMethodSparsity
2015
Investigation of Inter-Slice Magnetization Transfer Effects as a New Method for MTR Imaging of the Human Brain
Barker J, Han P, Choi S, Bae K, Park S. Investigation of Inter-Slice Magnetization Transfer Effects as a New Method for MTR Imaging of the Human Brain. PLOS ONE 2015, 10: e0117101. PMID: 25664938, PMCID: PMC4321840, DOI: 10.1371/journal.pone.0117101.Peer-Reviewed Original ResearchMeSH KeywordsAdultBrainDiagnostic ImagingHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMagnetsModels, TheoreticalYoung AdultConceptsBalanced steady-state free precessionFlip angleMagnetization transferMagnetization transfer effectsSteady-state free precessionSaturation pulseModel of MTFree precessionMT-weightedAcquisition parametersMT effectMT ratioDelay timePrecessionMTR imagesHigh SNRInterslicePE stepsMagnetizationFlip