Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
Visualization of the variability of 3D statistical shape models by animation
 

Summary: Visualization of the variability of 3D
statistical shape models by animation
Hans Lamecker, Martin Seebaß, Thomas Lange, Hans-Christian Hege, Peter Deuflhard
Zuse­Institute­Berlin (ZIB),
Takustr. 7, 14195 Berlin, Germany
Abstract. Models of the 3D shape of anatomical objects and the knowledge about
their statistical variability are of great benefit in many computer assisted medical appli-
cations like images analysis, therapy or surgery planning. Statistical model of shapes
have successfully been applied to automate the task of image segmentation. The gener-
ation of 3D statistical shape models requires the identification of corresponding points
on two shapes. This remains a difficult problem, especially for shapes of complicated
topology. In order to interpret and validate variations encoded in a statistical shape
model, visual inspection is of great importance. This work describes the generation
and interpretation of statistical shape models of the liver and the pelvic bone.
1 Introduction
Models of the 3D shape of anatomical objects and the knowledge about their statistical vari-
ability are of great benefit in many computer assisted medical applications like images anal-
ysis, therapy or surgery planning. Statistical model of shapes have successfully been applied
to automate the task of image segmentation, see for instance [1] and references therein. They
consist of a mean shape plus the main modes of deviations from this mean.

  

Source: Andrzejak, Artur - Konrad-Zuse-Zentrum für Informationstechnik Berlin

 

Collections: Computer Technologies and Information Sciences