%0 Journal Article
%T Detection of Cranial- Facial Malformations: Towards an Automatic Method
%A Hiba Chelbi
%A Manel Laajimi
%A Wala Touhami & Nawr¨¨s Khlifa
%J International Journal of Image Processing
%D 2011
%I Computer Science Journals
%X This paper presents an original method to detect malformations in cranial facial 3D images. Thisis a hard task because of the complex structure of the cranium. The method is composed byseveral stages containing essentially a segmentation phase to localize the bone structure, a 3Dimage characterization to delineate automatically geometrical characteristics from thesegmented images. These need to possess a mathematical definition in order to be calculatedand an anatomical pertinence to be representative of the structuresĄŻ shape. So, thecharacteristics retained are the crest lines. And finally a registration phase to identify thedeformations place. This method is tested on real and synthetic data and has proved hisperformance.
%K Cranial Malformations
%K HMM Segmentation Method
%K Crest lines
%K Mesh Simplification
%K ICIP Registration
%U http://cscjournals.org/csc/manuscript/Journals/IJIP/volume5/Issue4/IJIP-433.pdf