Related Experiment Video
Updated: Mar 30, 2026
06:32
Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
Published on: July 14, 2023
2.0K
Design and development of an ethnically-diverse imaging informatics-based eFolder system for multiple sclerosis
Kevin C Ma1, James R Fernandez2, Lilyana Amezcua3
1IPILab, Dept. of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089-1111, United States.
Summary
A new system, MS eFolder, integrates patient data and MRI analysis for multiple sclerosis (MS) research and care. It offers quantitative lesion tracking and decision support for improved MS patient management.
Area of Science:
- Medical Informatics
- Neuroimaging
- Radiology
Background:
- Electronic patient record systems are crucial for modern healthcare.
- Tracking multiple sclerosis (MS) progression requires efficient data management.
- Existing systems lack integrated solutions for MS patient data and imaging analysis.
Purpose of the Study:
- To develop an integrated system for storing and analyzing MS patient data and imaging.
- To enable quantitative analysis and longitudinal tracking of MS lesions.
- To support clinical decision-making and research in MS.
Main Methods:
- Developed MS eFolder, an imaging informatics system with a DICOM-based database.
- Integrated lesion contouring, 3D quantification, and brain parenchyma fraction analysis.
- Utilized web-based GUI and DICOM-SR for structured reporting and data mining.
Main Results:
- MS eFolder provides quantitative lesion volume and location analysis.
- The system enables tracking of lesion volume changes in longitudinal studies.
- Integrated clinical and imaging data for comprehensive patient profiles.
Conclusions:
- MS eFolder offers an integrated solution for MS data storage, analysis, and tracking.
- The system supports treatment assessment, outcomes analysis, and decision support.
- It serves as a platform for future quantitative analysis and research in MS.
