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 functionPractical 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 approach