BRAIN SEGMENTATION IN HEAD CT IMAGES

Ana Sofia Torres, Fernando C. Monteiro

Abstract

Brain segmentation in head computed tomography scans is essential for the development of computer-aided diagnostic methods for identifying the brain diseases. In this paper we present a hybrid framework to brain segmentation which joints region-based information based on watershed transform with clustering techniques. A pre-processing step is used to reduce the spatial resolution without losing important image information. An initial partitioning of the image into primitive regions is set by applying a rainfalling watershed algorithm on the image gradient magnitude. This initial partition is the input to a computationally efficient region segmentation process which produces the final segmentation. We have applied our approach on several head CT images and the results reveal the robustness and accuracy of this method.

References

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Paper Citation


in Harvard Style

Sofia Torres A. and C. Monteiro F. (2012). BRAIN SEGMENTATION IN HEAD CT IMAGES . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012) ISBN 978-989-8425-89-8, pages 434-437. DOI: 10.5220/0003794704340437


in Bibtex Style

@conference{biosignals12,
author={Ana Sofia Torres and Fernando C. Monteiro},
title={BRAIN SEGMENTATION IN HEAD CT IMAGES},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012)},
year={2012},
pages={434-437},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003794704340437},
isbn={978-989-8425-89-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012)
TI - BRAIN SEGMENTATION IN HEAD CT IMAGES
SN - 978-989-8425-89-8
AU - Sofia Torres A.
AU - C. Monteiro F.
PY - 2012
SP - 434
EP - 437
DO - 10.5220/0003794704340437