Abstract #4436
Measuring Cross Sectional Area of the Spinal Cord at 7T: Validating Fully Automated Segmentation
Benjamin N Conrad 1 , Bailey D Lyttle 2 , Siddharama Pawate 3 , Robert L Barry 1,4 , Bennett A Landman 1,5 , and Seth A Smith 1,4
1
Vanderbilt University Institute of Imaging
Science, Nashville, TN, United States,
2
Neuroscience,
Vanderbilt University, Nashville, TN, United States,
3
Neurology,
Vanderbilt University, Nashville, TN, United States,
4
Radiology
and Radiological Sciences, Vanderbilt University Medical
Center, Nashville, TN, United States,
5
Electrical
Engineering, Vanderbilt University, Nashville, TN,
United States
Spinal cord atrophy is a clinical symptom associated
with many diseases, including multiple sclerosis. The
most commonly reported measure of atrophy involves
estimation of the cross sectional area (CSA) of the cord
from anatomical MRI. Advances in image acquisition and
segmentation methods are converging to allow for
reliable, fully automated techniques for assessing CSA.
The current analysis validates a recently developed
automatic labeling scheme using T2*-weighted images by
comparing estimated CSA in MS patients and healthy
controls versus a standard, semi-automated estimation
using T1-weighted images.
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