PCA based statistical shape model of the spleen

Tomoko Tateyama, Amir Hossein Foruzan, Yen Wei Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

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.

Original languageEnglish
Title of host publication5th International Conference on Natural Computation, ICNC 2009
Pages36-39
Number of pages4
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event5th International Conference on Natural Computation, ICNC 2009 - Tianjian, China
Duration: 14-08-200916-08-2009

Publication series

Name5th International Conference on Natural Computation, ICNC 2009
Volume6

Conference

Conference5th International Conference on Natural Computation, ICNC 2009
Country/TerritoryChina
CityTianjian
Period14-08-0916-08-09

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Software

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