Skip to Main content Skip to Navigation
Conference papers

The Labeling of Cortical Sulci using Multidimensional Scaling

Mani Meena 1, * Srivastava Anuj 2 Christian Barillot 1 
* Corresponding author
1 VisAGeS - Vision, Action et Gestion d'informations en Santé
INSERM - Institut National de la Santé et de la Recherche Médicale : U746, Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
Abstract : The task of classifying or labeling cortical sulci is made difficult by the fact that individual sulci may not have unique distinguishing features and usually need to be identified by a multivariate feature set that takes the relative spatial arrangement into account. In this paper, classical multidimensional scaling (MDS), which gives a geometric interpretation to input dissimilarity data, is used to classify 180 sulci drawn from the ten major classes of sulci. Using a leave-one-out validation strategy, we acheive a success rate of 100% in the best case and 78% in the worst case. For these more difficult cases, we propose a second stage of classification using shape based features. One of these features is the geodesic distance between sulcal curves obtained from a new open curve representation in a geometric framework. With MDS, we offer a simple and intuitive approach to a challenging problem. Not only can we easily separate left and right brain sulci, but we also narrow the classification problem from, in this case, a 10-class to a 2-class problem. More generally, we can identify a region-of-interest (ROI) within which one can carry out further classification.
Document type :
Conference papers
Complete list of metadata

Cited literature [9 references]  Display  Hide  Download
Contributor : Aline Grosset Connect in order to contact the contributor
Submitted on : Tuesday, October 28, 2008 - 4:55:30 PM
Last modification on : Friday, June 24, 2022 - 2:40:05 PM
Long-term archiving on: : Tuesday, October 9, 2012 - 2:35:43 PM


Files produced by the author(s)


  • HAL Id : inserm-00335194, version 1


Mani Meena, Srivastava Anuj, Christian Barillot. The Labeling of Cortical Sulci using Multidimensional Scaling. MICCAI Workshop - Manifolds in Medical Imaging: Metrics, Learning and Beyond, Sep 2008, New-York, United States. ⟨inserm-00335194⟩



Record views


Files downloads