International Journal of Computational Intelligence Systems

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Volume 11, Issue 1, 2018, Pages 79 - 85

An Advanced Automatic Fuzzy Rule-Based Algorithm for 3D Vessel Segmentation

Authors
Mohamed A. Abdou*, 1, m.abdou@pua.edu.eg, Ashraf El-Sayed2, ashraf.elsayed@alexu.edu.eg, Eman Ali2, eman_ali3@alexu.edu.eg
1Informatics Research Institute, City for Scientific, Research & Technology Applications, Alexandria, Egypt†
2Department of Mathematics and Computer science, Faculty of science, Alexandria University, Alexandria, Egypt
*Corresponding author.
Corresponding Author
Mohamed A. Abdoum.abdou@pua.edu.eg
Received 10 December 2016, Accepted 4 September 2017, Available Online 1 January 2018.
DOI
10.2991/ijcis.11.1.7How to use a DOI?
Keywords
Fuzzy systems; Hessian matrix; Frangi filter parameters; Chan-Vese segmentation method; and automatic 3D vessel extraction
Abstract

Fuzzy Logic has played an important role in medical image (MI) segmentation in the last decade. Automatic blood vessel segmentation from 3D medical images is an emerging area where segmentation algorithms could be combined with evolutionary computation methods for better diagnosis and higher decision accuracy. This paper introduces an automatic blood vessel segmentation algorithm from 3D images using Fuzzy logic. The proposed fuzzy system decides degree of Vesselness according to Eigen values of Hessian matrix. 3D synthetic and real CTA clinical image database are used to test the proposed algorithm and show a correct voxel classification. The proposed method shows better segmentation results compared to manual and swarm intelligence methods. Furthermore, fuzzy has led to better time improvement.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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<Previous Article In Issue
Next Article In Issue>
Journal
International Journal of Computational Intelligence Systems
Volume-Issue
11 - 1
Pages
79 - 85
Publication Date
2018/01/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.11.1.7How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Mohamed A. Abdou
AU  - Ashraf El-Sayed
AU  - Eman Ali
PY  - 2018
DA  - 2018/01/01
TI  - An Advanced Automatic Fuzzy Rule-Based Algorithm for 3D Vessel Segmentation
JO  - International Journal of Computational Intelligence Systems
SP  - 79
EP  - 85
VL  - 11
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.11.1.7
DO  - 10.2991/ijcis.11.1.7
ID  - Abdou2018
ER  -