Evolution of brain tumor growth model: a back-in-time approach

One of the crucial stages in Image Guided Surgery (IGS) protocol is the IGS planning stage, the major requirements at that stage are to determine tumor extent and size by reconstructing tumor slices, and to determine the best way to approach affected site. The surgeon is clinically responsible...

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Main Authors: Aboaba, Abdulfattah A., Hameed, Shihab A., Khalifa, Othman Omran, Hassan Abdalla Hashim, Aisha, Harun, Rahmat H., Mohd Zain, Norzaini Rose
Format: Conference or Workshop Item
Language:English
Published: 2012
Subjects:
Online Access:http://irep.iium.edu.my/28492/
http://irep.iium.edu.my/28492/
http://irep.iium.edu.my/28492/
http://irep.iium.edu.my/28492/1/ICCCE2012-Brain_tumor_Growth-06271363.pdf
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recordtype eprints
spelling iium-284922017-06-15T08:13:43Z http://irep.iium.edu.my/28492/ Evolution of brain tumor growth model: a back-in-time approach Aboaba, Abdulfattah A. Hameed, Shihab A. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Harun, Rahmat H. Mohd Zain, Norzaini Rose T173.2 Technological change One of the crucial stages in Image Guided Surgery (IGS) protocol is the IGS planning stage, the major requirements at that stage are to determine tumor extent and size by reconstructing tumor slices, and to determine the best way to approach affected site. The surgeon is clinically responsible to do these with the aid of IGS software that is fashioned in line with the surgeon training. It has been observed that lots of time used at that stage could be saved if a good model that will accurately estimate tumor growth from few slices could be developed to assist at that stage. This paper presents a tumor growth modeling approach based on step response of electrical energy devices, and its application to tumor estimation using non-IGS protocol image slices to produce tumor area estimation that is comparable for image reconstruction purposes with tumor area found on the thin slice IGS protocol images, thereby eliminating the need for time consuming IGS protocol imaging. 2012 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/28492/1/ICCCE2012-Brain_tumor_Growth-06271363.pdf Aboaba, Abdulfattah A. and Hameed, Shihab A. and Khalifa, Othman Omran and Hassan Abdalla Hashim, Aisha and Harun, Rahmat H. and Mohd Zain, Norzaini Rose (2012) Evolution of brain tumor growth model: a back-in-time approach. In: International Conference on Computer and Communication Engineering (ICCCE 2012), 3-5 July 2012, Seri Pacific Hotel Kuala Lumpur. http://dx.doi.org/10.1109/ICCCE.2012.6271363 doi:10.1109/ICCCE.2012.6271363
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic T173.2 Technological change
spellingShingle T173.2 Technological change
Aboaba, Abdulfattah A.
Hameed, Shihab A.
Khalifa, Othman Omran
Hassan Abdalla Hashim, Aisha
Harun, Rahmat H.
Mohd Zain, Norzaini Rose
Evolution of brain tumor growth model: a back-in-time approach
description One of the crucial stages in Image Guided Surgery (IGS) protocol is the IGS planning stage, the major requirements at that stage are to determine tumor extent and size by reconstructing tumor slices, and to determine the best way to approach affected site. The surgeon is clinically responsible to do these with the aid of IGS software that is fashioned in line with the surgeon training. It has been observed that lots of time used at that stage could be saved if a good model that will accurately estimate tumor growth from few slices could be developed to assist at that stage. This paper presents a tumor growth modeling approach based on step response of electrical energy devices, and its application to tumor estimation using non-IGS protocol image slices to produce tumor area estimation that is comparable for image reconstruction purposes with tumor area found on the thin slice IGS protocol images, thereby eliminating the need for time consuming IGS protocol imaging.
format Conference or Workshop Item
author Aboaba, Abdulfattah A.
Hameed, Shihab A.
Khalifa, Othman Omran
Hassan Abdalla Hashim, Aisha
Harun, Rahmat H.
Mohd Zain, Norzaini Rose
author_facet Aboaba, Abdulfattah A.
Hameed, Shihab A.
Khalifa, Othman Omran
Hassan Abdalla Hashim, Aisha
Harun, Rahmat H.
Mohd Zain, Norzaini Rose
author_sort Aboaba, Abdulfattah A.
title Evolution of brain tumor growth model: a back-in-time approach
title_short Evolution of brain tumor growth model: a back-in-time approach
title_full Evolution of brain tumor growth model: a back-in-time approach
title_fullStr Evolution of brain tumor growth model: a back-in-time approach
title_full_unstemmed Evolution of brain tumor growth model: a back-in-time approach
title_sort evolution of brain tumor growth model: a back-in-time approach
publishDate 2012
url http://irep.iium.edu.my/28492/
http://irep.iium.edu.my/28492/
http://irep.iium.edu.my/28492/
http://irep.iium.edu.my/28492/1/ICCCE2012-Brain_tumor_Growth-06271363.pdf
first_indexed 2023-09-18T20:42:01Z
last_indexed 2023-09-18T20:42:01Z
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