434. Improving Image Accuracy in Low-Field Magnetic Resonance Imaging to Make Accessible Biomarkers for Psychiatric Disorders
Cooper R, Hayes R, Corcoran M, Sheth K, Arnold T, Stein J, Glahn D, Jalbrzikowski M. 434. Improving Image Accuracy in Low-Field Magnetic Resonance Imaging to Make Accessible Biomarkers for Psychiatric Disorders. Biological Psychiatry 2024, 95: s277-s278. DOI: 10.1016/j.biopsych.2024.02.933.Peer-Reviewed Original ResearchBridging the gap: improving correspondence between low-field and high-field magnetic resonance images in young people
Cooper R, Hayes R, Corcoran M, Sheth K, Arnold T, Stein J, Glahn D, Jalbrzikowski M. Bridging the gap: improving correspondence between low-field and high-field magnetic resonance images in young people. Frontiers In Neurology 2024, 15: 1339223. PMID: 38585353, PMCID: PMC10995930, DOI: 10.3389/fneur.2024.1339223.Peer-Reviewed Original ResearchSuper-resolution approachLow fieldsConvolutional neural networkSuper-resolution methodsImage qualityLow image qualityImage correspondencesNeural networkProcessing imagesLow-field imagesHigh-field systemsStandard imagesLow-field MR systemImproved correspondenceLow-field systemSurface areaImagesSingle pairWhite matter volumeMR systemSubcortical volumesMR technologyGlobal mean cortical thicknessCortical thicknessCortical volume
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