2024
Constrained alternating minimization for parameter mapping (CAMP)
Elsaid N, Dispenza N, Hu C, Peters D, Constable R, Tagare H, Galiana G. Constrained alternating minimization for parameter mapping (CAMP). Magnetic Resonance Imaging 2024, 110: 176-183. PMID: 38657714, PMCID: PMC11193090, DOI: 10.1016/j.mri.2024.04.029.Peer-Reviewed Original ResearchConceptsAlternating minimizationAccelerated parameter mappingImage qualityReconstructed image qualityEfficient reconstruction algorithmSacrificing model accuracyParameter mapsPhantom studyK-space samplingAcceleration datasetsK-spaceUndersampling artifactsCartesian acquisitionConsecutive imagesReconstruction algorithmIndividual imagesModel cost functionExponential decayEcho timeReconstruction methodCost functionReduce artifactsPhantomScan timeObjective functionEncoding 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 ResearchMeSH KeywordsAlgorithmsArtifactsImage Processing, Computer-AssistedMagnetic Resonance ImagingPhantoms, ImagingConceptsBloch-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
2014
Pseudo‐random center placement O‐space imaging for improved incoherence compressed sensing parallel MRI
Tam LK, Galiana G, Stockmann JP, Tagare H, Peters DC, Constable RT. Pseudo‐random center placement O‐space imaging for improved incoherence compressed sensing parallel MRI. Magnetic Resonance In Medicine 2014, 73: 2212-2224. PMID: 25042143, PMCID: PMC4297603, DOI: 10.1002/mrm.25364.Peer-Reviewed Original ResearchConceptsO-space imagingCompressed SensingMean squared errorSquared errorConvex programIncoherence parameterSparsity levelSEM fieldsO spaceField modulationMaximum interferenceCS approachSparse domainNominal valueReceiver arrayErrorParallel MRIImage reconstructionAppropriate samplingSingle pointReduced errorIncoherenceTheoryAlgebraic reconstruction technique for parallel imaging reconstruction of undersampled radial data: Application to cardiac cine
Li S, Chan C, Stockmann JP, Tagare H, Adluru G, Tam LK, Galiana G, Constable RT, Kozerke S, Peters DC. Algebraic reconstruction technique for parallel imaging reconstruction of undersampled radial data: Application to cardiac cine. Magnetic Resonance In Medicine 2014, 73: 1643-1653. PMID: 24753213, PMCID: PMC4504217, DOI: 10.1002/mrm.25265.Peer-Reviewed Original Research