Abstract #1719
Resolving the anatomic variability of the human cervical spinal cord: a solution to facilitate advanced neural imaging.
David W. Cadotte 1,2 , Adam Cadotte 3 , Julien Cohen-Adad 4 , David Fleet 5 , Micha Livne 5 , David Mikulis 6 , and Michael G. Fehlings 1,7
1
Neurosurgery, University of Toronto,
Toronto, Ontario, Canada,
2
University
Health Network, Toronto Western Reserach Institute,
Toronto, ON, Canada,
3
CREMS
program, Faculty of Medicine, University of Toronto,
Toronto, Ontario, Canada,
4
Institute
of Biomedical Engineering, Ecole Polytechnique de
Montral, Quebec, Canada,
5
Department of
Computer Science, University of Toronto, ON, Canada,
6
Department
of Medical Imaging, Division of Neuroradiology,
University of Toronto, ON, Canada,
7
University
Health Network, Toronto Western Reserach Institute, ON,
Canada
In this work we provide a novel, quantitative solution
to deal with the anatomical variability of the human
cervical cord. To do this, we identify the longitudinal
axis of the brainstem-spinal cord with a polynomial
spline function. Based on user-defined markings of
segmental nerve rootlets as ground truth data, we
identify the position of spinal segments relative to the
ponto-medullary junction (PMJ). For the first time, we
report a population distribution of the segmental
anatomy of the cervical spine that has direct
implications for the interpretation of advanced imaging
studies most often conducted across groups of subjects.
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