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Authors: Haojun Wang ; Patrick Sturm ; Frank Schmitt and Lutz Priese

Affiliation: Institute for Computational Visualistics, University of Koblenz-Landau, Germany

ISBN: 972-8865-40-6

Keyword(s): Image segmentation, 3D Cell Structure Code, MRI, Brain, Classification.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Medical Image Analysis ; Segmentation and Grouping

Abstract: The 3D Cell Structure Code (3D-CSC) is a fast region growing technique. However, directly adapted for segmentation of magnetic resonance (MR) brain images it has some limitations due to the variability of brain anatomical structure and the degradation of MR images by intensity inhomogeneities and noise. In this paper an improved approach is proposed. It starts with a preprocessing step which contains a 3D Kuwahara filter to reduce noise and a bias correction method to compensate intensity inhomogeneities. Next the 3D-CSC is applied, where a required similarity threshold is chosen automatically. In order to recognize gray and white matter, a histogram-based classification is applied. Morphological operations are used to break small bridges connecting gray value similar non-brain tissues with the gray matter. 8 real and 10 simulated T1-weighted MR images were evaluated to validate the performance of our method.

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Paper citation in several formats:
Wang H.; Sturm P.; Schmitt F.; Priese L. and (2006). IMPROVED SEGMENTATION OF MR BRAIN IMAGES INCLUDING BIAS FIELD CORRECTION BASED ON 3D-CSC.In Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, ISBN 972-8865-40-6, pages 338-345. DOI: 10.5220/0001376503380345

@conference{visapp06,
author={Haojun Wang and Patrick Sturm and Frank Schmitt and Lutz Priese},
title={IMPROVED SEGMENTATION OF MR BRAIN IMAGES INCLUDING BIAS FIELD CORRECTION BASED ON 3D-CSC},
booktitle={Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,},
year={2006},
pages={338-345},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001376503380345},
isbn={972-8865-40-6},
}

TY - CONF

JO - Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,
TI - IMPROVED SEGMENTATION OF MR BRAIN IMAGES INCLUDING BIAS FIELD CORRECTION BASED ON 3D-CSC
SN - 972-8865-40-6
AU - Wang, H.
AU - Sturm, P.
AU - Schmitt, F.
AU - Priese, L.
PY - 2006
SP - 338
EP - 345
DO - 10.5220/0001376503380345

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