2019
Free-Breathing Three-Dimensional T1 Mapping of the Heart Using Subspace-Based Data Acquisition and Image Reconstruction
Han P, Horng D, Marin T, Petibon Y, Ouyang J, Fakhri G, Ma C. Free-Breathing Three-Dimensional T1 Mapping of the Heart Using Subspace-Based Data Acquisition and Image Reconstruction. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2019, 00: 4008-4011. PMID: 31946750, DOI: 10.1109/embc.2019.8856511.Peer-Reviewed Original ResearchConceptsRespiratory motionRespiratory gatingLongitudinal relaxation timeSubspace-based methodsLow-rank tensorMagnetic resonance imagingRelaxation timeT1 mappingT)-spaceSubspace-basedSparsity constraintDynamic MR imagingReconstructed mapsSpatiotemporal correlationThree-dimensionalCardiac MRHealthy subjectsIn vivo dataMagnetizationResonance imagingImage functionMR imagingData acquisitionClinical applicationTensor
2016
Spectral Quantification for High-Resolution MR Spectroscopic Imaging With Spatiospectral Constraints
Ning Q, Ma C, Lam F, Liang Z. Spectral Quantification for High-Resolution MR Spectroscopic Imaging With Spatiospectral Constraints. IEEE Transactions On Biomedical Engineering 2016, 64: 1178-1186. PMID: 27479954, PMCID: PMC5513734, DOI: 10.1109/tbme.2016.2594583.Peer-Reviewed Original Research
2015
High‐resolution 1H‐MRSI of the brain using SPICE: Data acquisition and image reconstruction
Lam F, Ma C, Clifford B, Johnson C, Liang Z. High‐resolution 1H‐MRSI of the brain using SPICE: Data acquisition and image reconstruction. Magnetic Resonance In Medicine 2015, 76: 1059-1070. PMID: 26509928, PMCID: PMC4848237, DOI: 10.1002/mrm.26019.Peer-Reviewed Original ResearchRemoval of nuisance signals from limited and sparse 1H MRSI data using a union‐of‐subspaces model
Ma C, Lam F, Johnson C, Liang Z. Removal of nuisance signals from limited and sparse 1H MRSI data using a union‐of‐subspaces model. Magnetic Resonance In Medicine 2015, 75: 488-497. PMID: 25762370, PMCID: PMC4567537, DOI: 10.1002/mrm.25635.Peer-Reviewed Original Research