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Proceedings Paper

Bounding-object segmentation
Author(s): Marcus Vetter; Jochen Neuhaus; Ingmar Wegner; Max Schoebinger; Hans-Peter Meinzer; Ivo Wolf
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Paper Abstract

The paper presents a new method for the semiautomatic segmentation of anatomical or pathological structures in MRI, CT or ultrasound images. The concept of bounding-object segmentation is based on an efficient combination of a new interactive approach with well known automatic segmentation algorithms. The efficiency of this new method is based on the transparent interaction between a 3D scene as well arbitrary 2D views of the scene. Bounding-object segmentation can also be described as a combination of interactive 3D segmentation with region-based, level-set-based, and/or texture based 3D-segmentation algorithms.

Paper Details

Date Published: 29 April 2005
PDF: 8 pages
Proc. SPIE 5747, Medical Imaging 2005: Image Processing, (29 April 2005); doi: 10.1117/12.596797
Show Author Affiliations
Marcus Vetter, Deutsches Krebsforschungszentrum (Germany)
Jochen Neuhaus, Deutsches Krebsforschungszentrum (Germany)
Ingmar Wegner, Deutsches Krebsforschungszentrum (Germany)
Max Schoebinger, Deutsches Krebsforschungszentrum (Germany)
Hans-Peter Meinzer, Deutsches Krebsforschungszentrum (Germany)
Ivo Wolf, Deutsches Krebsforschungszentrum (Germany)

Published in SPIE Proceedings Vol. 5747:
Medical Imaging 2005: Image Processing
J. Michael Fitzpatrick; Joseph M. Reinhardt, Editor(s)

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