Fusion of spatial relationships for guiding recognition, example of brain structure recognition in 3D MRI

Authors:
Isabelle Bloch;Olivier Colliot;Oscar Camara;Thierry Géraud
Affiliations:
Dept. TSI, Ecole Nationale Supérieure des Télécommunications, CNRS UMR 5141 LTCI, 46 rue Barrault, 75013 Paris, France;McConnell Brain Imaging Center, MNI, McGill University, 3801 University, Montréal, Qué., Canada H3A2B4;King's College, London, UK;EPITA Research and Development Laboratory, 14-16 rue Voltaire, F-94276 Le Kremlin-Bicêtre cedex, France
Venue:
Pattern Recognition Letters - Special issue: Advances in pattern recognition
Year:
2005

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Abstract

Spatial relations play an important role in recognition of structures embedded in a complex environment and for reasoning under imprecision. Several types of relationships can be modeled in a unified way using fuzzy mathematical morphology. Their combination benefits from the powerful framework of fuzzy set theory for fusion tasks and decision making. This paper presents several methods of fusion of information about spatial relationships and illustrates them on the example of model-based recognition of brain structures in 3D magnetic resonance imaging.