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A review on segmentation and modeling of cerebral vasculature for surgical planning

Visualization of cerebral blood vessels is vital for stroke diagnosis and surgical planning. A suitable modality for the visualization of blood vessels is very important for the analysis of abnormalities of the cerebrovascular system, as it is the most complex blood circulation system in the human b...

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Main Authors: Ajam, Azimah, Abd. Aziz, Azrina, Asirvadam, Vijanth Sagayan, Muda, Ahmad Sobri, Faye, Ibrahima, Gardezi, S. Jamal Safdar
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers 2017
Online Access:http://psasir.upm.edu.my/id/eprint/60722/1/A%20review%20on%20segmentation%20and%20modeling%20of%20cerebral%20vasculature%20for%20surgical%20planning.pdf
http://psasir.upm.edu.my/id/eprint/60722/
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7954963&tag=1
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spelling my.upm.eprints.607222019-04-29T05:54:37Z http://psasir.upm.edu.my/id/eprint/60722/ A review on segmentation and modeling of cerebral vasculature for surgical planning Ajam, Azimah Abd. Aziz, Azrina Asirvadam, Vijanth Sagayan Muda, Ahmad Sobri Faye, Ibrahima Gardezi, S. Jamal Safdar Visualization of cerebral blood vessels is vital for stroke diagnosis and surgical planning. A suitable modality for the visualization of blood vessels is very important for the analysis of abnormalities of the cerebrovascular system, as it is the most complex blood circulation system in the human body and vulnerable to bleeding, infection, blood clot, stenosis, and many other forms of damage. Images produced by current imaging modalities are not promising because of noise, artifacts, and the complex structure of cerebral blood vessels. Therefore, there is a requirement for the accurate reconstruction of blood vessels to assist the clinician in making an accurate diagnosis and surgical planning. This paper presents an overall review of modeling techniques that can be classified into the three categories, i.e., image-based modeling, mathematical modeling, and hybrid modeling. Image-based modeling deals directly with medical images and which involves preprocessing, segmentation, feature extraction, and classification. Mathematical modeling exploits existing mathematical laws and equations, an example being an arterial bifurcation, which is assumed to follow a fractal and cube law, and a system of ordinary differential equations are solved to obtain pressure and velocity estimates in a branching network. Whereas, Hybrid modeling incorporates both image-based and mathematical modeling to attempt to produce a more detailed and realistic arterial structure. From the literature review and the analysis of the results, it can be summarized that hybrid models provide a faster and more robust technique, which can significantly help in diagnosis and surgical planning, such as for finding the shortest path for a stenting procedure. Institute of Electrical and Electronics Engineers 2017 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/60722/1/A%20review%20on%20segmentation%20and%20modeling%20of%20cerebral%20vasculature%20for%20surgical%20planning.pdf Ajam, Azimah and Abd. Aziz, Azrina and Asirvadam, Vijanth Sagayan and Muda, Ahmad Sobri and Faye, Ibrahima and Gardezi, S. Jamal Safdar (2017) A review on segmentation and modeling of cerebral vasculature for surgical planning. IEEE Access, 5. 15222 - 15240. ISSN 2169-3536 https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7954963&tag=1 10.1109/ACCESS.2017.2718590
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Visualization of cerebral blood vessels is vital for stroke diagnosis and surgical planning. A suitable modality for the visualization of blood vessels is very important for the analysis of abnormalities of the cerebrovascular system, as it is the most complex blood circulation system in the human body and vulnerable to bleeding, infection, blood clot, stenosis, and many other forms of damage. Images produced by current imaging modalities are not promising because of noise, artifacts, and the complex structure of cerebral blood vessels. Therefore, there is a requirement for the accurate reconstruction of blood vessels to assist the clinician in making an accurate diagnosis and surgical planning. This paper presents an overall review of modeling techniques that can be classified into the three categories, i.e., image-based modeling, mathematical modeling, and hybrid modeling. Image-based modeling deals directly with medical images and which involves preprocessing, segmentation, feature extraction, and classification. Mathematical modeling exploits existing mathematical laws and equations, an example being an arterial bifurcation, which is assumed to follow a fractal and cube law, and a system of ordinary differential equations are solved to obtain pressure and velocity estimates in a branching network. Whereas, Hybrid modeling incorporates both image-based and mathematical modeling to attempt to produce a more detailed and realistic arterial structure. From the literature review and the analysis of the results, it can be summarized that hybrid models provide a faster and more robust technique, which can significantly help in diagnosis and surgical planning, such as for finding the shortest path for a stenting procedure.
format Article
author Ajam, Azimah
Abd. Aziz, Azrina
Asirvadam, Vijanth Sagayan
Muda, Ahmad Sobri
Faye, Ibrahima
Gardezi, S. Jamal Safdar
spellingShingle Ajam, Azimah
Abd. Aziz, Azrina
Asirvadam, Vijanth Sagayan
Muda, Ahmad Sobri
Faye, Ibrahima
Gardezi, S. Jamal Safdar
A review on segmentation and modeling of cerebral vasculature for surgical planning
author_facet Ajam, Azimah
Abd. Aziz, Azrina
Asirvadam, Vijanth Sagayan
Muda, Ahmad Sobri
Faye, Ibrahima
Gardezi, S. Jamal Safdar
author_sort Ajam, Azimah
title A review on segmentation and modeling of cerebral vasculature for surgical planning
title_short A review on segmentation and modeling of cerebral vasculature for surgical planning
title_full A review on segmentation and modeling of cerebral vasculature for surgical planning
title_fullStr A review on segmentation and modeling of cerebral vasculature for surgical planning
title_full_unstemmed A review on segmentation and modeling of cerebral vasculature for surgical planning
title_sort review on segmentation and modeling of cerebral vasculature for surgical planning
publisher Institute of Electrical and Electronics Engineers
publishDate 2017
url http://psasir.upm.edu.my/id/eprint/60722/1/A%20review%20on%20segmentation%20and%20modeling%20of%20cerebral%20vasculature%20for%20surgical%20planning.pdf
http://psasir.upm.edu.my/id/eprint/60722/
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7954963&tag=1
_version_ 1643837424355246080
score 13.223943

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