Quantification of multiple sclerosis lesion load and brain tissue volumetry using multiparameter MRI: methodology and reproducibility

Zhaohua Ding; Jana Preiningerova; Christopher J Cannistraci; Timothy L Vollmer; John C Gore; Adam W Anderson

doi:10.1016/j.mri.2004.12.005

Quantification of multiple sclerosis lesion load and brain tissue volumetry using multiparameter MRI: methodology and reproducibility

Magn Reson Imaging. 2005 Apr;23(3):445-52. doi: 10.1016/j.mri.2004.12.005.

Authors

Zhaohua Ding¹, Jana Preiningerova, Christopher J Cannistraci, Timothy L Vollmer, John C Gore, Adam W Anderson

Affiliation

¹ Institute of Imaging Science, Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN 37232-2675, USA. zhaohua.ding@vanderbilt.edu

PMID: 15862645
DOI: 10.1016/j.mri.2004.12.005

Abstract

Quantitative characterization of multiple sclerosis (MS) lesion load is of considerable interest to clinical follow-up studies. Based on fuzzy clustering of multiparameter magnetic resonance images, we have developed a computer-assisted system for volumetric quantification of brain tissue. Tests on patient data show that the system is very efficient, and volumetric measurements characterized are highly reproducible. The high reproducibility and efficiency offer the potential of routine laboratory and clinical use for quantification of MS lesion load.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms
Brain / pathology*
Humans
Image Enhancement
Image Processing, Computer-Assisted
Magnetic Resonance Imaging / methods*
Multiple Sclerosis / pathology*
Reproducibility of Results