Abstract #4354
Fully Automated Segmentation of the Cervical Cord Using PropSeg: Application to Multiple Sclerosis
Marios C. Yiannakas 1 , Ahmed Mustafa 1 , Benjamin De Leener 2 , Hugh Kearney 1 , David H. Miller 1 , Julien Cohen-Adad 2 , and Claudia A. M. Wheeler-Kingshott 1
1
NMR Research Unit, Department of
Neuroinflammation, Queen Square MS Centre, UCL Institute
of Neurology, London, WC1N3BG, United Kingdom,
2
Institute
of Biomedical Engineering, Polytechnique Montreal,
Montreal, QC, Canada
In this work a fully automated spinal cord segmentation
method (PropSeg) is evaluated in a large cohort of
people with multiple sclerosis (MS). Measurements of
cervical cord cross-sectional area (CSA) were obtained
and compared with those obtained through an established
semi-automated method which is based on an active
surface model. The results from this study suggest that
PropSeg is a user-friendly, reliable and time-efficient
way of obtaining CSA measurements and if validated in
future studies it may prove a promising approach for
analysis of large datasets in therapeutic trials in MS.
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