2022
Joint spectral quantification of MR spectroscopic imaging using linear tangent space alignment‐based manifold learning
Ma C, Han P, Zhuo Y, Djebra Y, Marin T, Fakhri G. Joint spectral quantification of MR spectroscopic imaging using linear tangent space alignment‐based manifold learning. Magnetic Resonance In Medicine 2022, 89: 1297-1313. PMID: 36404676, PMCID: PMC9892363, DOI: 10.1002/mrm.29526.Peer-Reviewed Original ResearchConceptsSubspace-based methodsManifold learningIntrinsic low-dimensional structureGlobal coordinationLearning-based methodsNumerical simulation dataSpatial smoothness constraintSparsity constraintSpace alignmentSubspace modelSmoothness constraintSuperior performanceRoot mean square errorLinear transformationMechanical simulationsLow-dimensionalSquare errorSubspaceExperimental dataSpectroscopic imagingQuantum mechanical simulationsCoordinate alignmentMR spectroscopic imagingSpectral quantificationSimulated data
2009
Iterative Image Reconstruction Model Including Susceptibility Gradients Combined with Z-shimming Gradients in fMRI
Zhuo Y, Sutton B. Iterative Image Reconstruction Model Including Susceptibility Gradients Combined with Z-shimming Gradients in fMRI. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2009, 2009: 5721-5724. PMID: 19963915, DOI: 10.1109/iembs.2009.5332669.Peer-Reviewed Original ResearchConceptsSusceptibility-induced magnetic field gradientsMagnetic field gradientField gradientEffects of magnetic field gradientNear air/tissue interfacesField inhomogeneity effectsIterative reconstruction algorithmSignal lossSpiral-inIncreasing acquisition timeZ-shimMagnetic fieldAir/tissue interfacesMR signal modelMagnetic field distortionFunctional magnetic resonance imagingMagnetic susceptibility artifactsBlood oxygen levelAcquisition timeSusceptibility artifactsReconstruction algorithmField distortionImage distortionData acquisition techniquesSignal distortion