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A Statistical Shape Model for the Liver Hans Lamecker1
 

Summary: A Statistical Shape Model for the Liver
Hans Lamecker1
, Thomas Lange2
, Martin Seebass1
1
Konrad-Zuse-Zentrum Berlin, Germany, 2
Charité Berlin, Germany
lamecker@zib.de, thomas.lange@charite.de, seebass@zib.de
Abstract. The use of statistical shape models is a promising approach for
robust segmentation of medical images. One of the major challenges in building
a 3D shape model from a training set of segmented instances of an object is the
determination of the correspondence between them. We propose a novel
geometric approach that is based on minimizing the distortion of the mapping
between two surfaces. In this work we investigate the accuracy and
completeness of a 3D statistical shape model for the liver built from 20
manually segmented individual CT data sets. The quality of the shape model is
crucial for its application as a segmentation tool.
1 Introduction
The variable functional anatomy [1] of the liver requires individual pre-operative
planning for hepatic surgery. The segmentation of the liver is essential for this

  

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

 

Collections: Computer Technologies and Information Sciences