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Updated: Jun 3, 2025

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images
Published on: January 7, 2019
Comparative analysis of brain volumetric measurements between contrast-enhanced and non-contrast MRI images
Aniket Aman1, Aaryaman Hoskote2, Kshitij S Jadhav2
1Max Super Speciality Hospital, Saket, New Delhi, India.
Background:
Clinical brain MRI scans, including contrast-enhanced (CE-MR) images, represent an underutilized resource for neuroscience research due to technical heterogeneity.
Purpose:
To evaluate the reliability of morphometric measurements from CE-MR scans compared to non-contrast MR (NC-MR) scans in normal individuals.
Methods:
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.
Results:
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.
Conclusion:
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.
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