Postmortem validation of MRI cortical volume measurements in MS

Veronica Popescu1, Roel Klaver2, Adriaan Versteeg1

  • 1Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands.

Human Brain Mapping
|March 7, 2016
PubMed

Insights

This study validated postmortem MRI methods for measuring grey matter atrophy in multiple sclerosis (MS). Manual editing of FSL-SIENAX and FreeSurfer improved accuracy, supporting their use in severe MS pathology.

Area of Science:

  • Neuroimaging
  • Neuropathology
  • Medical image analysis

Background:

  • Grey matter (GM) atrophy is a key indicator of multiple sclerosis (MS) pathology.
  • Accurate GM segmentation is crucial for measuring atrophy in MS studies.
  • Validating in vivo GM measurement techniques is challenging.

Purpose of the Study:

  • To evaluate the correlation between postmortem MRI measurements of cortical volume and thickness with histological measurements.
  • To determine the validity of different postprocessing techniques for GM atrophy assessment in MS.
  • To assess the impact of manual editing on automated segmentation accuracy.

Main Methods:

  • Postmortem MRI (3DT1-weighted) was performed on 16 MS brains.
  • Regional cortical volume was measured using FSL-SIENAX, FreeSurfer, and SPM.
  • Regional cortical thickness was measured using FreeSurfer and validated against histological measurements.
  • Linear regression analyses were used to compare MRI and histological data.

Main Results:

  • Significant correlations were found between histological cortical thickness and FSL-SIENAX cortical volume with manual editing (P=0.005).
  • Significant correlations were also observed for FreeSurfer cortical volume (P=0.003) and cortical thickness (P=0.003) with manual editing.
  • Automated segmentation methods showed no significant correlation, highlighting the importance of manual editing.

Conclusions:

  • FSL-SIENAX and FreeSurfer, with manual editing, are supported for assessing GM atrophy in severe MS.
  • Manual editing significantly improves the accuracy of automated GM segmentation techniques.
  • This study provides a method for validating in vivo MRI measurements using postmortem data.

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