2024
Portable, low-field magnetic resonance imaging for evaluation of Alzheimer’s disease
Sorby-Adams A, Guo J, Laso P, Kirsch J, Zabinska J, Garcia Guarniz A, Schaefer P, Payabvash S, de Havenon A, Rosen M, Sheth K, Gomez-Isla T, Iglesias J, Kimberly W. Portable, low-field magnetic resonance imaging for evaluation of Alzheimer’s disease. Nature Communications 2024, 15: 10488. PMID: 39622805, PMCID: PMC11612292, DOI: 10.1038/s41467-024-54972-x.Peer-Reviewed Original ResearchConceptsWhite matter hyperintensitiesMachine learning pipelineMild cognitive impairmentAlzheimer's diseaseWhite matter hyperintensities volumeLearning pipelineAssessment of patientsIncrease accessCognitive impairmentEvaluation of Alzheimer's diseaseDementiaLF-MRIPoint-of-care assessmentMagnetic resonance imagingHippocampal volumeResonance imagingImage qualityDiseaseReduce costsAnisotropic counterpartIncreasing availabilityManual segmentation
2023
Brain imaging with portable low-field MRI
Kimberly W, Sorby-Adams A, Webb A, Wu E, Beekman R, Bowry R, Schiff S, de Havenon A, Shen F, Sze G, Schaefer P, Iglesias J, Rosen M, Sheth K. Brain imaging with portable low-field MRI. Nature Reviews Bioengineering 2023, 1: 617-630. PMID: 37705717, PMCID: PMC10497072, DOI: 10.1038/s44222-023-00086-w.Peer-Reviewed Original ResearchSparse k-space dataK-space dataImage reconstructionUseful diagnostic imagesReconstruction algorithmLow power requirementsNew applicationsLF-MRIDiagnostic imagesNew approachNew opportunitiesHardwareConventional systemMachineOngoing developmentPower requirementsAlgorithmImagesTechnological innovationFurther innovationNoise cancellationNoise ratioTechnologyRequirementsInformation