Volume 5, Issue 6, November 2017, Page: 63-69
A Systematic Survey and Evaluation of Blood Vessel Extraction Techniques
Kalim Qureshi, Department of Information Science, College of Computer Sciences and Engineering, Kuwait University, Kuwait, Kuwait
Received: Oct. 11, 2017;       Accepted: Oct. 31, 2017;       Published: Dec. 27, 2017
DOI: 10.11648/j.ijmi.20170506.11      View  1483      Downloads  54
Abstract
The automatic extraction of brain vessels from Magnetic Resonance Angiography (MRA) has found its application in vascular disease diagnosis, endovascular operation and neurosurgical planning. In this paper we first present a concise methodology, pros & cons of well-known vessel extraction techniques. A systematic survey of latest development in the area of vessel extraction by using region growing algorithms is present. Then we detail the main challenges of vessel extraction and segmentation area. Based on review and our experience in the area, we finally present enhancement in region growing algorithm. Our proposed algorithm shows performance improvement as compare to traditional region growing algorithm.
Keywords
Image Processing, Segmentation, Region Growing, Medical Imaging, Vessels, MRA
To cite this article
Kalim Qureshi, A Systematic Survey and Evaluation of Blood Vessel Extraction Techniques, International Journal of Medical Imaging. Vol. 5, No. 6, 2017, pp. 63-69. doi: 10.11648/j.ijmi.20170506.11
Copyright
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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