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Related Experiment Videos

Multiprotocol MR image segmentation in multiple sclerosis: experience with over 1,000 studies.

J K Udupa1, L G Nyúl, Y Ge

  • 1Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia 19104-6021, USA.

Academic Radiology
|November 28, 2001
PubMed
Summary

Magnetic resonance imaging (MRI) offers objective measures for multiple sclerosis (MS) severity, replacing subjective clinical scales. Magnetization transfer ratio histogram parameters and brain parenchymal volume show strong correlations with disease progression.

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Area of Science:

  • Neurology
  • Medical Imaging
  • Biophysics

Background:

  • Multiple sclerosis (MS) is a central nervous system disease.
  • Current clinical measures like the Expanded Disability Status Scale are subjective and difficult to reproduce.
  • Objective assessment of MS progression and treatment response is needed.

Purpose of the Study:

  • To investigate objective measures for assessing multiple sclerosis (MS) severity using MR imaging.
  • To develop and validate MR imaging-based methods to replace subjective clinical scales.

Main Methods:

  • Developed multiprotocol MR image segmentation using fuzzy connectedness.
  • Quantified macroscopic features (lesions, tissue volumes) and microscopic white matter appearance.
  • Analyzed over 1,000 patient studies.

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Main Results:

  • Magnetization transfer ratio histogram parameters strongly correlated with clinical MS measures.
  • Brain parenchymal volume also showed a significant correlation, indicating brain atrophy as a key indicator.
  • Microscopic and diffuse disease characteristics in tissue regions are important.

Conclusions:

  • Fuzzy connectedness is a reproducible MR imaging segmentation method for MS.
  • Objective MR imaging measures can reliably assess MS severity and response to therapy.