Automatic Statistical Shape Model Building from A Priori InformationReport as inadecuate




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1 Equipe Image - Laboratoire GREYC - UMR6072 GREYC - Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen 2 GREYC - Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen

Abstract : We propose a method based on a priori knowledge provided by anatomical atlases to build almost automatically a Point Distribution Model of internal brain structures. A training set of 3D shapes is rst constructed by registering an anatomical atlas over a MRI database. Then, the set shape instances are automatically landmarked in a Point Distribution Model optimization framework: according to the recent method developed by Davies et al. 1, a Minimum Description Length principle-based objective function drives the optimization process to the \best- annotation for input training set. Preliminary results of models built for several anatomical structures are encouraging.





Author: Jonathan Bailleul - Su Ruan - Daniel Bloyet -

Source: https://hal.archives-ouvertes.fr/



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