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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
Published in International Journal of Image Processing (IJIP)
MORE INFORMATION
KEYWORDS
Cranial malformations, Crest lines, Registration
ABSTRACT
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
khalifa_nawres@yahoo.com
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