The development of an MRI lesion quantifying system for multiple sclerosis patients undergoing treatment

Paymann Moin; Kevin Ma; Lilyana Amezcua; Arkadiusz Gertych; Brent Liu

doi:10.1117/12.811947

13 March 2009 The development of an MRI lesion quantifying system for multiple sclerosis patients undergoing treatment

Paymann Moin, Kevin Ma, Lilyana Amezcua, Arkadiusz Gertych, Brent Liu

Author Affiliations +

Proceedings Volume 7264, Medical Imaging 2009: Advanced PACS-based Imaging Informatics and Therapeutic Applications; 72640J (2009) https://doi.org/10.1117/12.811947
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

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.

Citation Download Citation

Paymann Moin, Kevin Ma, Lilyana Amezcua, Arkadiusz Gertych, and Brent Liu "The development of an MRI lesion quantifying system for multiple sclerosis patients undergoing treatment", Proc. SPIE 7264, Medical Imaging 2009: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 72640J (13 March 2009); https://doi.org/10.1117/12.811947

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