Paper Abstract and Keywords |
Presentation |
2010-05-14 09:45
A Statistical Shape model using 2D-principal Component Analysis from few Medical Samples Tomoko Tateyama, Taishi Tanaka, Shinya Kohara (Ritsumeikan Unive), Amir H Foruzan, Akira Furukawa (SUMS), Yen-Wei Chen (Ritsumeikan Unive) IE2010-32 PRMU2010-20 MI2010-20 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Statistical model is to model the shape variation of an object for human organ, and used for a variety of medical application. In medical statistical shape field, the medical training samples are very limited, so it is difficult to construct a statistical shape model with generalization from few samples. In this paper, we propose a
novel efficient 3D-shape representation method based sphere coordinate representation, and 2D-PCA based statistical shape model method from few medical samples and show its effectiveness. The experiments showed that our
proposed method can reconstruct statistical shape model be always higher than conventional method. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Statistical shape model / Spherical Polar Coordinates / 3-D shape information / 2-Dimensional Principal Component Analysis / few Medical Sample / reconstruction of human spleen / / |
Reference Info. |
IEICE Tech. Rep., vol. 110, no. 28, MI2010-20, pp. 103-108, May 2010. |
Paper # |
MI2010-20 |
Date of Issue |
2010-05-06 (IE, PRMU, MI) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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IE2010-32 PRMU2010-20 MI2010-20 |
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