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Article
A Review on the Cerebrovascular Segmentation Methods
2018 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2018
  • Fatma Taher, Zayed University
  • Ali Mahmoud, University of Louisville
  • Ahmed Shalaby, University of Louisville
  • Ayman El-Baz, University of Louisville
Document Type
Conference Proceeding
Publication Date
2-14-2019
Abstract

© 2018 IEEE. This paper explores various methods that have been proposed for the segmentation of the cerebrovascular structure. All of the methods listed are a combination old, new, automatic and semiautomatic models that produce promising results. Each method will be explained along with its advantages and disadvantages. Each of the methods explained are further explored in this paper with variety algorithms produced by using certain models to target certain areas in the cerebrovascular structure. These algorithms were developed to segment cerebrovascular structures from scans obtained from various image modalities e.g., time of flight magnetic-resonance angiography (TOF-MRA), and computed tomography angiography (CTA).

ISBN
9781538675687
Publisher
Institute of Electrical and Electronics Engineers Inc.
Disciplines
Keywords
  • cerebrovascular,
  • CTA,
  • MRA,
  • segmentation
Scopus ID
85063542830
Indexed in Scopus
Yes
Open Access
No
https://doi.org/10.1109/ISSPIT.2018.8642756
Citation Information
Fatma Taher, Ali Mahmoud, Ahmed Shalaby and Ayman El-Baz. "A Review on the Cerebrovascular Segmentation Methods" 2018 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2018 (2019) p. 359 - 364
Available at: http://works.bepress.com/fatma-taher/23/