TY - GEN
T1 - PCA based statistical shape model of the spleen
AU - Tateyama, Tomoko
AU - Foruzan, Amir Hossein
AU - Chen, Yen Wei
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/77950625674
UR - https://www.scopus.com/pages/publications/77950625674#tab=citedBy
U2 - 10.1109/ICNC.2009.695
DO - 10.1109/ICNC.2009.695
M3 - Conference contribution
AN - SCOPUS:77950625674
SN - 9780769537368
T3 - 5th International Conference on Natural Computation, ICNC 2009
SP - 36
EP - 39
BT - 5th International Conference on Natural Computation, ICNC 2009
T2 - 5th International Conference on Natural Computation, ICNC 2009
Y2 - 14 August 2009 through 16 August 2009
ER -