Shape constrained automatic segmentation of the liver based on a heuristic intensity model.

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MICCAI Workshop 3D Segmentation in the Clinic. 2007 Oct 29

Shape constrained automatic segmentation of the liver based on a heuristic intensity model. Kainmueller Lab

Kainmueller D, Lange T, Lamecker H

Note: Research in this publication was not performed at Janelia.

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Abstract

We present a fully automatic 3D segmentation method for the liver from contrast-enhanced CT data. It is based on a combination of a constrained free-form and statistical deformable model. The adap- tation of the model to the image data is performed according to a simple model of the typical intensity distribution around the liver boundary and neighboring anatomical structures, considering the potential presence of tumors in the liver. All parameters of the deformation as well as the initial positioning of the model in the data are estimated automatically.

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Shape constrained automatic segmentation of the liver based on a heuristic intensity model.

Note: Research in this publication was not performed at Janelia.

Abstract