2021
High-Resolution Label-Free Molecular Imaging of Brain Tumor
Guo R, Ma C, Li Y, Zhao Y, Wang T, Li Y, Fakhri G, Liang Z. High-Resolution Label-Free Molecular Imaging of Brain Tumor. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2021, 00: 3049-3052. PMID: 34891886, DOI: 10.1109/embc46164.2021.9630623.Peer-Reviewed Original ResearchConceptsMagnetic resonance spectroscopic imagingBrain tumorsIntra-tumoural metabolic heterogeneityAssessment of treatment efficacySmall-sized tumorsClinical applicationN-acetyl aspartateBrain tumor characterizationPotential clinical applicationsApplication of magnetic resonance spectroscopic imagingTumor characterizationMolecular imaging techniquesBrain metabolitesImaging of brain tumorsTumorTreatment efficacyClinical relevanceMetabolic imagingDiagnosed brain tumorsHigh-resolution metabolic imagingMetabolic heterogeneityTumor detectionMolecular imaging of brain tumorsLabel-free molecular imagingLabel-free molecular imaging technique
2015
Improved Low-Rank Filtering of Magnetic Resonance Spectroscopic Imaging Data Corrupted by Noise and <inline-formula><tex-math notation="LaTeX">$B_0$</tex-math></inline-formula> Field Inhomogeneity
Liu Y, Ma C, Clifford B, Lam F, Johnson C, Liang Z. Improved Low-Rank Filtering of Magnetic Resonance Spectroscopic Imaging Data Corrupted by Noise and Field Inhomogeneity. IEEE Transactions On Biomedical Engineering 2015, 63: 841-849. PMID: 26353360, DOI: 10.1109/tbme.2015.2476499.$B_0$ Peer-Reviewed Original ResearchConceptsLow-rank filterSignal-to-noise ratioConstrained Cramer-RaoDenoising MRSI dataFiltering methodLow-rank modelCramer-RaoDenoising performanceRank minimizationHigh-resolution magnetic resonance spectroscopic imagingBoundary constraintsIn vivo MRSI dataData corruptionLow-rankMRSI dataFilterNoiseUpper boundB0 field inhomogeneityField inhomogeneity correctionDenoisingField inhomogeneityInhomogeneity correctionMethodMagnetic resonance spectroscopic imagingEncoding and Decoding with Prior Knowledge: From SLIM to SPICE
Ma C, Lam F, Liang Z. Encoding and Decoding with Prior Knowledge: From SLIM to SPICE. 2015, 535-542. DOI: 10.1002/9780470034590.emrstm1441.Peer-Reviewed Original ResearchImage reconstructionLimited-data problemHigh-quality image reconstructionMagnetic resonance spectroscopic imaging methodBoundary informationSparsely sampled dataFourier encodingTruncated Fourier seriesEncodingData acquisitionSpectral localizationConventional magnetic resonance spectroscopic imagingFourier seriesImagesDecodingMagnetic resonance spectroscopic imagingFourierSubspaceSparsenessSpectroscopic imagingCodeDataMethodReconstructionSpices