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

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 eFolder 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.

Performance evaluation for volumetric segmentation of multiple sclerosis lesions using MATLAB and computing engine in the graphical processing unit (GPU)

“…However, due to large number of multiple lesions in the MRI 3-D volume set of the brain, it is tedious and time consuming to identify the 3-D aspect of each lesion and quantify the number and size of these lesions. Furthermore, the quantitative reproducibility is not consistent due to human-observance variability [2]. Therefore, augmenting computer aided detection (CAD) with imaging informatics methods, a 3-D CAD MS package would facilitate the physician's timely diagnosis, improve accuracy, and assess quantitatively the progress of drug therapy treatment.…”

SPIE Medical Imaging 50th anniversary: history of the Picture Archiving and Communication Systems Conference

“…A new name was used to close out the decade: Medical Imaging 2009 “Advanced PACS-Based Imaging Informatics and Therapeutic Applications.” Chaired by Khan M. Siddiqui and Brent J. Liu, the location also changed to Lake Buena Vista, Florida. In keeping with the name change, multiple papers described specialty clinical applications including for spine surgery, 544 endoscopy, 545 multiple sclerosis treatment, 546 breast cancer, 547 stroke, 548 telemedicine, 549 and regional healthcare. 550 Research databases 551 , 552 and CBIR 553 , 554 were also topics of interest.…”