Abstract
Clinical brain MRI scans, including contrast-enhanced (CE-MR) images, represent an underutilized resource for neuroscience research due to technical heterogeneity. To evaluate the reliability of morphometric measurements from CE-MR scans compared to non-contrast MR (NC-MR) scans in normal individuals. T1-weighted CE-MR and NC-MR scans from 59 normal participants (aged 21-73 years) were compared using CAT12 and SynthSeg + segmentation tools. Volumetric measurements and age prediction efficacy were analyzed. SynthSeg + demonstrated high reliability (ICCs > 0.90) for most brain structures between CE-MR and NC-MR scans, with discrepancies in CSF and ventricular volumes. CAT12 showed inconsistent performance. Age prediction models using SynthSeg + yielded comparable results for both scan types. Deep learning-based approaches like SynthSeg + can reliably process CE-MR scans for morphometric analysis, potentially broadening the application of clinically acquired CE-MR images in neuroimaging research.
Published Version
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