International Journal of Image Processing | |
Detection of Cranial- Facial Malformations: Towards an Automatic Method | |
Wala Touhami1  KHLIFA Nawrès1  Hiba Chelbi1  Manel Laajimi1  | |
[1] $$ | |
关键词: Cranial malformations; Crest lines; Registration; | |
DOI : | |
来源: Computer Science Journals | |
【 摘 要 】
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.
【 授权许可】
Unknown
【 预 览 】
Files | Size | Format | View |
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RO201912040511190ZK.pdf | 908KB | download |