Paper Abstract and Keywords |
Presentation |
2008-05-23 11:00
Automated recognition of the skeletal structure of lower limb in X-ray torso CT images based on the anatomical positional knowledge Mingxu Han, Tatsuro Hayashi, Xiangrong Zhou, Huayue Chen, Takeshi Hara, Hiroshi Fujita, Ryujiro Yokoyama, Masayuki Kanematsu, Hiroaki Hoshi (GifuUniv.) IE2008-28 PRMU2008-14 MI2008-14 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Abstract X-ray CT images have been widely used in clinical diagnosis in recent years. Due to the cost of CT image interpretations, the development of computer-aided diagnosis (CAD) system is expected. Automated recognition and registration of human structures are required as an important processing step of a CAD system and can be expected to detecting the abnormalities by referring to the normal human body. During the recognition and registration processes, the stable landmark determinations are required. Skeleton is expected to be used as the ideal landmark because it is associated with human organs. We are developing a CAD system that can recognize the skeletal structures automatically from CT images. In this paper, we propose a scheme for automated recognition of the skeletal structure of lower limb based on the skeletal topology, and discuss the validity of this scheme using 10 torso CT cases. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Torso X-ray CT image / Computer-aided diagnosis / Recognition of skeletal structures / registration / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 108, no. 47, MI2008-14, pp. 77-80, May 2008. |
Paper # |
MI2008-14 |
Date of Issue |
2008-05-15 (IE, PRMU, MI) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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IE2008-28 PRMU2008-14 MI2008-14 |
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