Detecting patterns of atrophy in cognitively impaired individuals using portable, low-field MRI.

ABSTRACT: Low-field MRI (LF-MRI) is an emerging neuroimaging approach for evaluating patients with dementia, offering greater accessibility and lower cost, albeit with reduced image resolution. In this study, we deployed LF-MRI in an outpatient clinic and analyzed images with a multi-functional artificial intelligence (AI) algorithm (WMH-SynthSeg) to generate segmentation volumes of 16 brain regions. We validated the accuracy of the quantifications compared with conventional, high-field (HF) MRI in healthy volunteers and subsequently applied the algorithm to aged subjects with mild cognitive impairment (MCI) or dementia due to Alzheimer's disease (AD), and to similarly aged subjects with cognitive impairment and vascular comorbidities (VC). Agreement between HF- and LF-derived brain volumes was high

SUBMITTER: Farnan A 

PROVIDER: S-EPMC12770908 | biostudies-literature | 2026

REPOSITORIES: biostudies-literature