2024
Accelerated 3D metabolite T1 mapping of the brain using variable‐flip‐angle SPICE
Zhao Y, Li Y, Guo R, Jin W, Sutton B, Ma C, Fakhri G, Li Y, Luo J, Liang Z. Accelerated 3D metabolite T1 mapping of the brain using variable‐flip‐angle SPICE. Magnetic Resonance In Medicine 2024, 92: 1310-1322. PMID: 38923032, DOI: 10.1002/mrm.30200.Peer-Reviewed Original ResearchConceptsLow-rank tensor modelGeneralized series modelMetabolite TExperimental resultsBrain metabolitesClinically acceptable scan timeEfficient encodingPhantom experimental resultsAcceptable scan timeNoisy dataSparse samplingImaging problemsData processingHealthy subject dataVariable flip angleFlip angleTensor modelSaturation effectsQuantitative metabolic imagingMRSI techniquePhantomScan timeData acquisitionMetabolic imagingT1 mapping
2021
Free‐breathing 3D cardiac T1 mapping with transmit B1 correction at 3T
Han P, Marin T, Djebra Y, Landes V, Zhuo Y, Fakhri G, Ma C. Free‐breathing 3D cardiac T1 mapping with transmit B1 correction at 3T. Magnetic Resonance In Medicine 2021, 87: 1832-1845. PMID: 34812547, PMCID: PMC8810588, DOI: 10.1002/mrm.29097.Peer-Reviewed Original ResearchMeSH KeywordsHeartHumansImage Interpretation, Computer-AssistedMagnetic Resonance ImagingPhantoms, ImagingReproducibility of ResultsConceptsFlip-angle estimationCardiac T<sub>1</sub> mappingGradient echo readoutThrough-plane spatial resolutionImaging timePractical imaging timesFree breathingPhantom studyB1 correctionAccelerated imagingIn-planeT)-spaceMyocardial T<sub>1</sub> valuesSubspace-based methodsSpatial resolutionImaging experimentsAcquisition schemeT)-space dataSubject-specific timeCorrectionModified Look-Locker inversion recoveryLook-Locker inversion recoveryTime of data acquisitionAverage imaging timeInversion-recovery sequenceDeep learning-based GTV contouring modeling inter- and intra- observer variability in sarcomas
Marin T, Zhuo Y, Lahoud R, Tian F, Ma X, Xing F, Moteabbed M, Liu X, Grogg K, Shusharina N, Woo J, Lim R, Ma C, Chen Y, El Fakhri G. Deep learning-based GTV contouring modeling inter- and intra- observer variability in sarcomas. Radiotherapy And Oncology 2021, 167: 269-276. PMID: 34808228, PMCID: PMC8934266, DOI: 10.1016/j.radonc.2021.09.034.Peer-Reviewed Original ResearchMeSH KeywordsDeep LearningHumansObserver VariationRadiotherapy Planning, Computer-AssistedReproducibility of ResultsSarcomaSoft Tissue NeoplasmsConceptsGross tumor volumeRadiation therapy treatment planningGross tumor volume contoursGross tumor volume delineationTherapy treatment planningIntra-observer variabilityConsensus contoursGTV contoursPre-operative CT imagesSoft tissue sarcomasRadiation oncologistsTumor volumeBone sarcomasTreatment planningAccurate contoursCT imagesDelineation procedureSarcomaSoft tissueConfidence levelRadiationPatientsHausdorff distanceMultiple contoursX-ray
2017
High‐resolution dynamic 31P‐MRSI using a low‐rank tensor model
Ma C, Clifford B, Liu Y, Gu Y, Lam F, Yu X, Liang Z. High‐resolution dynamic 31P‐MRSI using a low‐rank tensor model. Magnetic Resonance In Medicine 2017, 78: 419-428. PMID: 28556373, PMCID: PMC5562044, DOI: 10.1002/mrm.26762.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingPhantoms, ImagingReproducibility of ResultsConceptsLow-rank tensorImage reconstructionHigh-resolution image reconstructionImage functionSubspace structureData acquisitionFrame-ratePursuit approachCorrelation of dataSubspaceK-space coverageK-spaceImagesSNRMathematical structureReconstructionHigh-resolutionModeling purposesIn vivo studiesMethodTensor
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 ResearchMeSH KeywordsAlgorithmsImage EnhancementMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMolecular ImagingReproducibility of ResultsSensitivity and SpecificitySpatio-Temporal AnalysisHigh‐resolution 1H‐MRSI of the brain using short‐TE SPICE
Ma C, Lam F, Ning Q, Johnson C, Liang Z. High‐resolution 1H‐MRSI of the brain using short‐TE SPICE. Magnetic Resonance In Medicine 2016, 77: 467-479. PMID: 26841000, PMCID: PMC5493212, DOI: 10.1002/mrm.26130.Peer-Reviewed Original ResearchConceptsSignal-to-noise ratioHigh-resolution spectroscopic imagingSpatiospectral correlationSpectroscopic imagingIn-plane resolutionSubspace-based techniquesAccelerated data acquisitionSignal processing algorithmsMetabolite signalsIn-planeProcessing algorithmsNuisance signalsLipid signalingBaseline signalDatasetData acquisitionProperties of water
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 ResearchConceptsSubspace structureSpectroscopic imaging sequenceImage reconstructionSubspace modelImage sequencesImage reconstruction purposesEdge-preserving regularizationData acquisitionReconstruction methodThrough-plane resolutionImage reconstruction methodIn-planeIn vivo brain experimentsEncoding schemeField inhomogeneity correctionIn-plane resolutionTwo-dimensional (2DImaging frameworkInhomogeneity correctionData setsSubspaceHigh-resolutionHybrid data setsSpatial resolutionBrain experiments
2014
Design of multidimensional Shinnar–Le Roux radiofrequency pulses
Ma C, Liang Z. Design of multidimensional Shinnar–Le Roux radiofrequency pulses. Magnetic Resonance In Medicine 2014, 73: 633-645. PMID: 24578212, PMCID: PMC4147023, DOI: 10.1002/mrm.25179.Peer-Reviewed Original Research
2012
Reduced field‐of‐view excitation using second‐order gradients and spatial‐spectral radiofrequency pulses
Ma C, Xu D, King K, Liang Z. Reduced field‐of‐view excitation using second‐order gradients and spatial‐spectral radiofrequency pulses. Magnetic Resonance In Medicine 2012, 69: 503-508. PMID: 22489022, PMCID: PMC3406253, DOI: 10.1002/mrm.24259.Peer-Reviewed Original ResearchConceptsRF pulsesRF pulse lengthSpatially selective radiofrequencyReduced field-of-view imagingBloch equation simulationsField-of-view imagingPulse lengthRadiofrequency pulsesPhantom experimentsSelective radiofrequencyEquation simulationsPulseSecond-order gradientsNonlinear gradientsExcitation accuracyRegion-of-interestSpatial selectivityBlochSpatial dependencePhantom
2010
Joint design of spoke trajectories and RF pulses for parallel excitation
Ma C, Xu D, King K, Liang Z. Joint design of spoke trajectories and RF pulses for parallel excitation. Magnetic Resonance In Medicine 2010, 65: 973-985. PMID: 21413061, DOI: 10.1002/mrm.22676.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsImage EnhancementImage Interpretation, Computer-AssistedMagnetic Resonance ImagingPhantoms, ImagingReproducibility of ResultsSensitivity and SpecificityConceptsJoint design problemExcitation errorsTransmitting sensitivityJoint designCost function evaluationsExcitation systemDesign problemRF pulse designSelection problemMultidimensional RF pulsesExperimental resultsComputational efficiencyRF pulsesPulse designThin slice selectionEquation simulationsBloch equation simulationsSequential selectionConventional methodsSpoke locationExcitation patternsK-spacePulseFunction evaluationsLength limit
2009
Perturbation Analysis of the Effects of $B_{1}^{+}$ Errors on Parallel Excitation in MRI
Ma C, Xu D, King K, Liang Z. Perturbation Analysis of the Effects of $B_{1}^{+}$ Errors on Parallel Excitation in MRI. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2009, 1: 4064-4066. PMID: 19964100, DOI: 10.1109/iembs.2009.5333196.Peer-Reviewed Original Research