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
2010
MOTION-COMPENSATED RECONSTRUCTION OF GATED CARDIAC SPECT IMAGES USING A DEFORMABLE MESH MODEL
Marin T, Wernick M, Yang Y, Brankov J. MOTION-COMPENSATED RECONSTRUCTION OF GATED CARDIAC SPECT IMAGES USING A DEFORMABLE MESH MODEL. 2010, 520-523. DOI: 10.1109/isbi.2010.5490294.Peer-Reviewed Original ResearchDeformable mesh modelGated cardiac SPECT imagesMesh modelMotion estimation techniquesMotion trajectoryTemporal smoothness constraintMaximum-likelihood expectation-maximization algorithmExpectation-maximization algorithmEstimated motionMotion-compensated reconstructionMotion compensationLevel of noiseSmoothness constraintPixel gridTemporal constraintsTemporal filteringReconstruction algorithmReconstructed imagesMesh domainCardiac SPECT imagingAlgorithmNoise reductionTemporal correlationNoise effectsIteration