Share Email Print
cover

Proceedings Paper

The development of an MRI lesion quantifying system for multiple sclerosis patients undergoing treatment
Author(s): Paymann Moin; Kevin Ma; Lilyana Amezcua; Arkadiusz Gertych; Brent Liu
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Multiple sclerosis (MS) is a demyelinating disease of the central nervous system that affects approximately 2.5 million people worldwide. Magnetic resonance imaging (MRI) is an established tool for the assessment of disease activity, progression and response to treatment. The progression of the disease is variable and requires routine follow-up imaging studies. Currently, MRI quantification of multiple sclerosis requires a manual approach to lesion measurement and yields an estimate of lesion volume and interval change. In the setting of several prior studies and a long treatment history, trends related to treatment change quickly become difficult to extrapolate. Our efforts seek to develop an imaging informatics based MS lesion computer aided detection (CAD) package to quantify and track MS lesions including lesion load, volume, and location. Together, with select clinical parameters, this data will be incorporated into an MS specific e- Folder to provide decision support to evaluate and assess treatment options for MS in a manner tailored specifically to an individual based on trends in MS presentation and progression.

Paper Details

Date Published: 13 March 2009
PDF: 10 pages
Proc. SPIE 7264, Medical Imaging 2009: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 72640J (13 March 2009); doi: 10.1117/12.811947
Show Author Affiliations
Paymann Moin, Keck School of Medicine, Univ. of Southern California (United States)
Kevin Ma, Keck School of Medicine, Univ. of Southern California (United States)
Lilyana Amezcua, Keck School of Medicine, Univ. of Southern California (United States)
Arkadiusz Gertych, Cedars-Sinai Medical Ctr. (United States)
Brent Liu, Keck School of Medicine, Univ. of Southern California (United States)


Published in SPIE Proceedings Vol. 7264:
Medical Imaging 2009: Advanced PACS-based Imaging Informatics and Therapeutic Applications
Khan M. Siddiqui; Brent J. Liu, Editor(s)

© SPIE. Terms of Use
Back to Top