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Related Experiment Video

Updated: Jun 10, 2026

Abbiategrasso Brain Bank Protocol for Collecting, Processing and Characterizing Aging Brains
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Abbiategrasso Brain Bank Protocol for Collecting, Processing and Characterizing Aging Brains

Published on: June 3, 2020

CLADA: cortical longitudinal atrophy detection algorithm.

Kunio Nakamura1, Robert Fox, Elizabeth Fisher

  • 1Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, Ohio 44195, USA.

Neuroimage
|August 3, 2010
PubMed
Summary
This summary is machine-generated.

A new algorithm, CLADA, reliably measures brain cortical thickness changes over time, even with lower resolution MRI scans. This tool aids in assessing neurodegenerative conditions like multiple sclerosis (MS).

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Area of Science:

  • Neuroimaging
  • Neurodegeneration
  • Medical Image Analysis

Background:

  • Measuring brain cortical thickness changes is crucial for assessing neurodegenerative diseases.
  • Existing methods may face limitations with lower resolution magnetic resonance images (MRI).

Purpose of the Study:

  • To introduce and evaluate a novel longitudinal method, CLADA (cortical longitudinal atrophy detection algorithm), for measuring cortical thickness changes.
  • To assess CLADA's reliability, accuracy, and sensitivity, particularly for lower resolution MRI data relevant to multiple sclerosis (MS) clinical trials.

Main Methods:

  • CLADA develops a subject-specific cortical model, longitudinally deforming it to match serial MRI scans.
  • The algorithm was validated using scan-rescan variability, comparison with post-mortem tissue, simulation studies, and FreeSurfer.
  • CLADA was applied to longitudinal MRI data from secondary progressive MS patients.

Main Results:

  • CLADA demonstrated high reproducibility with scan-rescan variability of 0.45% (isotropic voxels) and 0.77% (1x1x5 mm(3) voxels).
  • Mean absolute accuracy error was 0.43 mm compared to post-mortem measurements.
  • CLADA showed 86% sensitivity for detecting 0.1mm changes and good agreement with FreeSurfer (r=0.73).
  • Cortical thinning was detected in MS patients, with CLADA identifying a higher rate compared to healthy controls over 2 years, even in lower resolution images.

Conclusions:

  • CLADA provides a reliable method for measuring cortical atrophy in longitudinal neuroimaging studies.
  • The algorithm is effective even with lower resolution MRI data, making it suitable for existing clinical trial datasets.
  • CLADA can aid in the assessment and monitoring of neurodegenerative conditions like MS.