A Review on the Cerebrovascular Segmentation Methods

Author First name, Last name, Institution

Fatma Taher, Zayed UniversityFollow
Ali Mahmoud, University of Louisville
Ahmed Shalaby, University of Louisville
Ayman El-Baz, University of Louisville

Document Type

Conference Proceeding

Source of Publication

2018 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2018

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).

DOI Link

10.1109/isspit.2018.8642756

ISBN

9781538675687

Publisher

Institute of Electrical and Electronics Engineers Inc.

First Page

359

Last Page

364

Disciplines

Computer Sciences

Keywords

cerebrovascular, CTA, MRA, segmentation

Scopus ID

85063542830

Recommended Citation

Taher, Fatma; Mahmoud, Ali; Shalaby, Ahmed; and El-Baz, Ayman, "A Review on the Cerebrovascular Segmentation Methods" (2019). All Works. 258.
https://zuscholars.zu.ac.ae/works/258

Indexed in Scopus

yes

Open Access

no