Title :
PCA Based Statical Shape Model of the Spleen
Author :
Tateyama, Tomoko ; Foruzan, Amir Hossein ; Chen, Yen-wei
Author_Institution :
Coll. of Inf. Sci. & Eng., Ritsumeikan Univ., Kusatsu, Japan
Abstract :
Statistical shape model (SSM) is to model the shape variation of an object. The statistical shape models are constructed by analysis of the positions of a set of landmark points based and use the surface information. In this paper, we propose a new PCA based statistical shape modeling technique and its application to medical applications. In the proposed method, boundary points of each slice are used as surface points and distance of these points to the corresponding slice center are used to represent the shape instead of their coordinates.
Keywords :
feature extraction; image representation; medical image processing; principal component analysis; solid modelling; PCA; boundary points; medical applications; object shape variation; shape representation; spleen; statistical shape modeling technique; surface points extraction; Biomedical equipment; Educational institutions; Information analysis; Information science; Liver; Medical services; Principal component analysis; Sampling methods; Shape; Solid modeling;
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
DOI :
10.1109/ICNC.2009.695