Structural Group Analysis of Functional Maps

Authors:
Olivier Coulon;Jean-Francois Mangin;Jean-Baptiste Poline;Vincent Frouin;Isabelle Bloch
Affiliations:
-;-;-;-;-
Venue:
IPMI '99 Proceedings of the 16th International Conference on Information Processing in Medical Imaging
Year:
1999

Citing 3
Cited 0

Scale-space primal sketch: construction and experiments

Image and Vision Computing
From 3D magnetic resonance images to structural representations of the cortex topography using topology preserving deformations

Journal of Mathematical Imaging and Vision - Special issue on mathematical imaging
Multiscale Measures in Linear Scale-Space for Characterizing Cerebral Functional Activations in 3D PET Difference Images

SCALE-SPACE '97 Proceedings of the First International Conference on Scale-Space Theory in Computer Vision

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Abstract

We present here a new method for cerebral activation detection. This method is performed on individual activation maps of any sort and aims at performing a multi-subject group analysis while preserving individual information and overcoming problems induced by spatial normalisation. The analysis is made through a multi-scale object-based description of individual maps. It is these structural descriptions which are compared, rather than the images themselves. The comparison is made through a graph, on which a labelling process is performed. The label field on the graph is modelled by a Markov random field, which allows us to introduce high-level rules of data interrogation.