2024
Practical utilization of nonlinear spatial encoding: Fast field mapping and FRONSAC‐wave
Zhang H, Constable R, Galiana G. Practical utilization of nonlinear spatial encoding: Fast field mapping and FRONSAC‐wave. Magnetic Resonance In Medicine 2024, 92: 1035-1047. PMID: 38651264, PMCID: PMC11209788, DOI: 10.1002/mrm.30119.Peer-Reviewed Original ResearchCombination of wavesImage qualityFrequency domainUndersampling ratesShort calibration timeG-factor mapsWave sequencesCalibration timeWave amplitudePoint spread functionImprove image qualityMapping schemeUndersampling factorsGradient trajectoriesSpread functionEncodingIn vivo human brain imagingTrajectory mappingWaveHuman brain imagingUndersamplingField mappingEncoding gradientsSparsityMapping approachEncoding scheme design for gradient-free, nonlinear projection imaging using Bloch-Siegert RF spatial encoding in a low-field, open MRI system
Selvaganesan K, Ha Y, Sun H, Zhang Z, Sun C, Samardzija A, Galiana G, Constable R. Encoding scheme design for gradient-free, nonlinear projection imaging using Bloch-Siegert RF spatial encoding in a low-field, open MRI system. Scientific Reports 2024, 14: 3307. PMID: 38332252, PMCID: PMC10853509, DOI: 10.1038/s41598-024-53703-y.Peer-Reviewed Original ResearchConceptsBloch-SiegertSpatial encodingBloch-Siegert shiftGradient-freeLow-field imagesLow fieldsProjection imagesPhase shiftLoop coilEncoding settingsEncoding schemeEncoding trajectoriesLow-field MR imagingSpatial resolutionImage reconstructionOptimization algorithmEncodingMRI systemShift effectHardware setupMR systemOpen MRI systemScheme designAlgorithmImages
2023
SVD Compression for Nonlinear Encoding Imaging with Model-based Deep Learning Reconstruction
Zhang Z, Selvaganesan K, Ha Y, Sun C, Samardzija A, Sun H, Galiana G, Constable R. SVD Compression for Nonlinear Encoding Imaging with Model-based Deep Learning Reconstruction. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2023 DOI: 10.58530/2023/0833.Peer-Reviewed Original ResearchDeep learning reconstructionModel-based networkLearning reconstructionEncoded imageGPU memoryRegularization termEncoding matrixGraph nodesGaussian noiseSimulated Gaussian noiseBloch-SiegertEncoding dimensionEncodingSVDModel partPhysical model partNetworkGPUMR scannerNonlinear caseNodesRedundancyReconstructionCompressionNoise