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

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:	T173.2 Technological change
Online Access:	http://irep.iium.edu.my/28492/1/ICCCE2012-Brain_tumor_Growth-06271363.pdf http://irep.iium.edu.my/28492/ http://dx.doi.org/10.1109/ICCCE.2012.6271363
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spelling	my.iium.irep.284922020-08-12T03:31:43Z 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
institution	Universiti Islam Antarabangsa Malaysia
building	IIUM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	International Islamic University Malaysia
content_source	IIUM Repository (IREP)
url_provider	http://irep.iium.edu.my/
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/28492/1/ICCCE2012-Brain_tumor_Growth-06271363.pdf http://irep.iium.edu.my/28492/ http://dx.doi.org/10.1109/ICCCE.2012.6271363
_version_	1675327129201410048
score	13.211869

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

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