Fuzzy Model-based Algorithm for 3-D Bone Tumour Analysis

Joanna Czajkowska


In this paper, a new fuzzy model based algorithm for 3-D bone tumour segmentation in MR series is introduced. The presented segmentation procedure is based on a modified fuzzy connectedness method. The there required fuzzy affinity values are estimated using a fuzzy inference system, whose fuzzy membership functions are structured on the basis of gaussian mixture model of analyzed image regions. The 3-D fuzzy tumour model is generated using different MR modalities acquired during a single examination. The segmentation abilities of prototype system have been tested on a MR database consisting of 27 examinations composed of two different sequences each.


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Paper Citation

in Harvard Style

Czajkowska J. (2013). Fuzzy Model-based Algorithm for 3-D Bone Tumour Analysis . In Proceedings of the 5th International Joint Conference on Computational Intelligence - Volume 1: FCTA, (IJCCI 2013) ISBN 978-989-8565-77-8, pages 185-192. DOI: 10.5220/0004498301850192

in Bibtex Style

author={Joanna Czajkowska},
title={Fuzzy Model-based Algorithm for 3-D Bone Tumour Analysis},
booktitle={Proceedings of the 5th International Joint Conference on Computational Intelligence - Volume 1: FCTA, (IJCCI 2013)},

in EndNote Style

JO - Proceedings of the 5th International Joint Conference on Computational Intelligence - Volume 1: FCTA, (IJCCI 2013)
TI - Fuzzy Model-based Algorithm for 3-D Bone Tumour Analysis
SN - 978-989-8565-77-8
AU - Czajkowska J.
PY - 2013
SP - 185
EP - 192
DO - 10.5220/0004498301850192