HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Conference papers

Graph Based Spatial Position Mapping of Low-grade Gliomas

Abstract : Low-grade gliomas (WHO grade II) are diffusively infiltra- tive brain tumors arising from glial cells. Spatial classification that is usually based on cerebral lobes lacks accuracy and is far from being able to provide some pattern or statistical interpretation of their appearance. In this paper, we propose a novel approach to understand and infer position of low-grade gliomas using a graphical model. The problem is formulated as a graph topology optimization problem. Graph nodes correspond to extracted tumors and graph connections to the spatial and content dependencies among them. The task of spatial position mapping is then expressed as an unsupervised clustering problem, where cluster centers correspond to centers with position appearance prior, and cluster samples to nodes with strong statistical dependencies on their position with respect to the cluster center. Promising results using leave-one-out cross-validation outperform conventional dimensionality reduction methods and seem to coincide with conclusions drawn in physiological studies regarding the expected tumor spatial distributions and interactions.
Document type :
Conference papers
Complete list of metadata

Cited literature [19 references]  Display  Hide  Download

Contributor : Sarah Parisot Connect in order to contact the contributor
Submitted on : Monday, January 14, 2013 - 4:06:34 PM
Last modification on : Tuesday, March 15, 2022 - 9:40:04 AM
Long-term archiving on: : Monday, April 15, 2013 - 4:05:23 AM


Files produced by the author(s)




Sarah Parisot, Hugues Duffau, Stéphane Chemouny, Nikos Paragios. Graph Based Spatial Position Mapping of Low-grade Gliomas. MICCAI - 14th International Conference on Medical Image Computing and Computer-Assisted Intervention - 2011, Sep 2011, Toronto, Canada. pp.508-515, ⟨10.1007/978-3-642-23629-7_62⟩. ⟨hal-00775865⟩



Record views


Files downloads