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

J. K. Udupa, L. Nyúl, Y. Ge, R. I. Grossman

Research output: Contribution to journalArticle

25 Citations (Scopus)

Abstract

Rationale and Objectives. Multiple sclerosis (MS) is an acquired disease of the central nervous system. Several clinical measures are commonly used to express the severity of the disease, including the Expanded Disability Status Scale and the ambulation index. These measures are subjective and may be difficult to reproduce. The aim of this research is to investigate the possibility of developing more objective measures derived from MR imaging. Materials and Methods. Various magnetic resonance (MR) imaging protocols are being investigated for the study of MS. Seeking to replace the Expanded Disability Status Scale and ambulation index with an objective means to assess the natural course of the disease and its response to therapy, the authors have developed multiprotocol MR image segmentation methods based on fuzzy connectedness to quantify both macrosopic features of the disease (lesions, gray matter, white matter, cerebrospinal fluid, and brain parenchyma) and the microscopic appearance of diseased white matter. Over 1,000 studies have been processed to date. Results. By far the strongest correlations with the clinical measures were demonstrated by the magnetization transfer ratio histogram parameters obtained for the various segmented tissue regions. These findings emphasize the importance of considering the microscopic and diffuse nature of the disease in the individual tissue regions. Brain parenchymal volume also demonstrated a strong correlation with clinical measures, which suggests that brain atrophy is an important disease indicator. Conclusion. Fuzzy connectedness is a viable, highly reproducible segmentation method for studying MS.

Original languageEnglish
Pages (from-to)1116-1126
Number of pages11
JournalAcademic Radiology
Volume8
Issue number11
DOIs
Publication statusPublished - 2001

Fingerprint

Multiple Sclerosis
Magnetic Resonance Spectroscopy
Walking
Brain
Magnetic Resonance Imaging
Central Nervous System Diseases
Atrophy
Cerebrospinal Fluid
Research
White Matter

Keywords

  • Brain, MR
  • Image processing
  • Magnetic resonance (MR)
  • Sclerosis, multiple MR

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

Multiprotocol MR image segmentation in multiple sclerosis : Experience with over 1,000 studies. / Udupa, J. K.; Nyúl, L.; Ge, Y.; Grossman, R. I.

In: Academic Radiology, Vol. 8, No. 11, 2001, p. 1116-1126.

Research output: Contribution to journalArticle

Udupa, J. K. ; Nyúl, L. ; Ge, Y. ; Grossman, R. I. / Multiprotocol MR image segmentation in multiple sclerosis : Experience with over 1,000 studies. In: Academic Radiology. 2001 ; Vol. 8, No. 11. pp. 1116-1126.
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