JSM 2014 Home
Online Program Home
My Program

Abstract Details

Activity Number: 123
Type: Contributed
Date/Time: Monday, August 4, 2014 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics in Imaging
Abstract #314094 View Presentation
Title: Analysis of Multi-Sequence Time Series Data from MS Lesions on Structural MRI
Author(s): Elizabeth Sweeney*+ and Russell Shinohara and Daniel S. Reich and Ciprian Crainiceanu and Ani Eloyan
Companies: Johns Hopkins Bloomberg School of Public Health and University of Pennsylvania and and Johns Hopkins University and Johns Hopkins University
Keywords: structural MRI ; multiple sclerosis ; time series
Abstract:

Structural magnetic resonance imaging (MRI) can be used to detect lesions in the brains of multiple sclerosis (MS) patients. The formation of these lesions is a complex sequence of inflammation, degeneration, and repair that MRI has been shown to be sensitive to. We characterize the lesion formation process with multi-sequence structural MRI. We have longitudinal MRI from 10 MS patients, each with between 10 and 40 studies. Each study consists of multiple sequences: a T1-weighted, T2-weighted, fluid attenuated inversion recovery (FLAIR) and proton density (PD) volume. To identify voxels in the brain that are part of new and enlarging lesions, we use the algorithm Subtraction-Based Logistic Inference for Modeling and Estimation (SuBLIME). In the voxels that are identified by SuBLIME, we extract the multi-sequence time series of the voxel intensities from the four volumes. We also collect the same information from a control area, the voxels from the contralateral of the brain. From these times series we are able to develop and classify categories of MS lesion formation.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2014 program




2014 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Professional Development program, please contact the Education Department.

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

ASA Meetings Department  •  732 North Washington Street, Alexandria, VA 22314  •  (703) 684-1221  •  meetings@amstat.org
Copyright © American Statistical Association.