An effective colon segmentation method in CT colonography / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 967-973, 2012.
Article
Dans Chinois
| WPRIM
| ID: wpr-246523
ABSTRACT
Colon cancer is one of the leading causes of cancer-related deaths, while the virtual colonoscopy plays an important role in the early detection of colon cancer. Effective colon segmentation is the basis of virtual colonoscopy. Oral contrast agent can reduce the use of laxatives, but it can to bring some difficulties in the colon segmentation. Because of the partial volume effect, the CT value of air-tagging boundary span a wide range, which are not easily eliminated. We present an effective method of colon segmentation in this paper. Firstly, we used adaptive threshold method to extract air area. Then we segmented tagging region and removed air-tagging boundary by segment region growing method based on statistical information and morphological operation. The experiments showed that the agreement between the results by manual and by orithm segmentation reached 93.4%.
Texte intégral:
Disponible
Indice:
WPRIM (Pacifique occidental)
Sujet Principal:
Algorithmes
/
Reconnaissance automatique des formes
/
Imagerie diagnostique
/
Interprétation d'images radiographiques assistée par ordinateur
/
Amélioration d'image radiographique
/
Côlon
/
Coloscopie virtuelle par tomodensitométrie
/
Méthodes
Type d'étude:
Etude diagnostique
/
Étude de dépistage
Limites du sujet:
Humains
langue:
Chinois
Texte intégral:
Journal of Biomedical Engineering
Année:
2012
Type:
Article
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