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Detection of Cranial- Facial Malformations: Towards an Automatic Method
Hiba Chelbi, Manel Laajimi, Wala Touhami, KHLIFA Nawrès
Pages - 435 - 445     |    Revised - 01-09-2011     |    Published - 05-10-2011
Volume - 5   Issue - 4    |    Publication Date - September / October 2011  Table of Contents
Cranial malformations, Crest lines, Registration
This paper presents an original method to detect malformations in cranial facial 3D images. This is a hard task because of the complex structure of the cranium. The method is composed by several stages containing essentially a segmentation phase to localize the bone structure, a 3D image characterization to delineate automatically geometrical characteristics from the segmented images. These need to possess a mathematical definition in order to be calculated and an anatomical pertinence to be representative of the structures’ shape. So, the characteristics retained are the crest lines. And finally a registration phase to identify the deformations place. This method is tested on real and synthetic data and has proved his performance.
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Dr. Hiba Chelbi
Mr. Manel Laajimi
- Tunisia
Mr. Wala Touhami
- Tunis
Dr. KHLIFA Nawrès
- Tunisia