Chemouny Stéphane, Joyeux H., Masson Luke, Borne Frédéric, Jaeger Marc, Monga O..
1999. Advanced 3D image processing techniques for liver and hepatic tumors location and volumetry.
In : Medical imaging 1999. Image processing = [Imagerie médicale 1999. Traitement de l'image]. SPIE
Autre titre : Techniques avancées de traitement d'images 3D pour la localisation et l'étude volumétrique de tumeurs du foie et de la sphère hépatique
Résumé : To assist radiologists and physicians in diagnosing, and in treatment planning and evaluating in liver oncology, we have developed a fast and accurate segmentation of the liver and its lesions within CT-scan exams . The first step of our method is to reduce spatial resolution of CT images . This will have two effects: obtain near isotropic 3D data space and drastically decrease computational time for further processing . On a second step a 3D non-linear "edge -preserving" smoothing filtering is performed throughout the entire exam. On a third step the 3D regions coming out from the second step are homogeneous enough to allow a quite simple segmentation process, based on morphological operations, under supervisor control, ending up with accurate 3D regions of interest (ROI) of the liver and all the hepatic tumors . On a fourth step the ROIs are eventually set back into the original images, features like volume and location are immediately computed and displayed. The segmentation we get is as precise as a manual one but is much faster.
Mots-clés Agrovoc : foie, néoplasme, imagerie, sciences médicales, modèle mathématique, radiographie
Classification Agris : U10 - Informatique, mathématiques et statistiques
S20 - Physiologie de la nutrition humaine
Auteurs et affiliations
- Chemouny Stéphane, CIRAD-AMIS-AMAP (FRA)
- Joyeux H.
- Masson Luke
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Borne Frédéric, CIRAD-AMIS-AMAP (FRA)
ORCID: 0000-0003-3251-8253
- Jaeger Marc, CIRAD-AMIS-AMAP (FRA)
- Monga O.
Autres liens de la publication
Source : Cirad - Agritrop (https://agritrop.cirad.fr/391937/)
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