DocumentCode
2721826
Title
Straightening the spinal Cord using fibre tractography
Author
Wassermann, D. ; Cohen-Adad, J. ; Lehericy, S. ; Benali, H. ; Rossignol, S. ; Deriche, R.
Author_Institution
EPI Athena, INRIA Sophia Antipolis - Mediterranee, Sophia-Antipolis, France
fYear
2010
fDate
14-17 April 2010
Firstpage
1377
Lastpage
1380
Abstract
Spinal Cord MRI (SC-MRI) is a challenging research field with numerous important clinical and basic research applications. Some of the SC-MRI applications strongly need to deal with a well straightened spinal cord either for appropriate methodological developments, for better visualization or diagnostic purposes. In this article, we develop an efficient and automatic method to straighten the spinal cord image and fibres. Diffusion Tensor MRI is first used to recover by tractography the bundles of fibres contained in the spinal cord white matter. An efficient Gaussian process framework is then used to automatically recover in a robust way the most representative fibre which is used to interpolate and straighten the spinal cord image and fibres. Our method is successfully tested on real images of one cat with partial spinal cord injury and two healthy volunteers. This capability to reliably reconstruct straightened animal and human spinal cord opens new opportunities for SC-MRI research.
Keywords
Gaussian processes; biomedical MRI; image reconstruction; injuries; medical image processing; neurophysiology; Gaussian process; animal; cat; diffusion tensor MRI; fibre tractography; image reconstruction; injury; spinal cord; white matter; Animals; Gaussian processes; Image reconstruction; Magnetic resonance imaging; Optical fiber testing; Robustness; Spinal cord; Spinal cord injury; Tensile stress; Visualization; Diffusion MRI; Gaussian Processes; Spinal Cord; Straightening; Tractography;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on
Conference_Location
Rotterdam
ISSN
1945-7928
Print_ISBN
978-1-4244-4125-9
Electronic_ISBN
1945-7928
Type
conf
DOI
10.1109/ISBI.2010.5490254
Filename
5490254
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