Brain tumor quantification equation: modeled on complete step response algorithm

In Image Guided neuro-Surgery (IGnS) protocol relating to tumor, the planning stage is the bottleneck where most times are spent reconstructing the slices in order to; quantify the tumor, get the tumor shape and location relative to adjacent cells, and determine best incursion route among others. T...

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Main Authors:	Aboaba, Abdulfattah A., Hameed, Shihab A., Khalifa, Othman Omran, Hassan Abdalla Hashim, Aisha, Harun, Rahmat, Zain, Norzaini Rose Mohd
Format:	Conference or Workshop Item
Language:	English
Published:	2012
Subjects:	T173.2 Technological change
Online Access:	http://irep.iium.edu.my/28489/ http://irep.iium.edu.my/28489/ http://irep.iium.edu.my/28489/ http://irep.iium.edu.my/28489/1/ICCCE2012-Br_Tu_Quantification-06271364.pdf

id	iium-28489
recordtype	eprints
spelling	iium-284892017-06-15T08:14:56Z http://irep.iium.edu.my/28489/ Brain tumor quantification equation: modeled on complete step response algorithm Aboaba, Abdulfattah A. Hameed, Shihab A. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Harun, Rahmat Zain, Norzaini Rose Mohd T173.2 Technological change In Image Guided neuro-Surgery (IGnS) protocol relating to tumor, the planning stage is the bottleneck where most times are spent reconstructing the slices in order to; quantify the tumor, get the tumor shape and location relative to adjacent cells, and determine best incursion route among others. This time consuming assignment is handled by a surgeon using any of the standardized IGnS software. It has been observed that the approach taken to quantify tumor in those software are simply replicating the surgeons’ experience-based brain tumor quantification technique fashionable in the pre-imaging era. The result is a quantification method that is time consuming, and at bests an approximation. What is presented here is a novel brain tumor quantification method based on step response algorithm utilizing a model which itself was based on step response model resulting in smart and rapid quantification of brain tumor volume. 2012 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/28489/1/ICCCE2012-Br_Tu_Quantification-06271364.pdf Aboaba, Abdulfattah A. and Hameed, Shihab A. and Khalifa, Othman Omran and Hassan Abdalla Hashim, Aisha and Harun, Rahmat and Zain, Norzaini Rose Mohd (2012) Brain tumor quantification equation: modeled on complete step response algorithm. 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.2012.6271364 doi:10.1109/ICCCE.2012.6271364
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 Zain, Norzaini Rose Mohd Brain tumor quantification equation: modeled on complete step response algorithm
description	In Image Guided neuro-Surgery (IGnS) protocol relating to tumor, the planning stage is the bottleneck where most times are spent reconstructing the slices in order to; quantify the tumor, get the tumor shape and location relative to adjacent cells, and determine best incursion route among others. This time consuming assignment is handled by a surgeon using any of the standardized IGnS software. It has been observed that the approach taken to quantify tumor in those software are simply replicating the surgeons’ experience-based brain tumor quantification technique fashionable in the pre-imaging era. The result is a quantification method that is time consuming, and at bests an approximation. What is presented here is a novel brain tumor quantification method based on step response algorithm utilizing a model which itself was based on step response model resulting in smart and rapid quantification of brain tumor volume.
format	Conference or Workshop Item
author	Aboaba, Abdulfattah A. Hameed, Shihab A. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Harun, Rahmat Zain, Norzaini Rose Mohd
author_facet	Aboaba, Abdulfattah A. Hameed, Shihab A. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Harun, Rahmat Zain, Norzaini Rose Mohd
author_sort	Aboaba, Abdulfattah A.
title	Brain tumor quantification equation: modeled on complete step response algorithm
title_short	Brain tumor quantification equation: modeled on complete step response algorithm
title_full	Brain tumor quantification equation: modeled on complete step response algorithm
title_fullStr	Brain tumor quantification equation: modeled on complete step response algorithm
title_full_unstemmed	Brain tumor quantification equation: modeled on complete step response algorithm
title_sort	brain tumor quantification equation: modeled on complete step response algorithm
publishDate	2012
url	http://irep.iium.edu.my/28489/ http://irep.iium.edu.my/28489/ http://irep.iium.edu.my/28489/ http://irep.iium.edu.my/28489/1/ICCCE2012-Br_Tu_Quantification-06271364.pdf
first_indexed	2023-09-18T20:42:00Z
last_indexed	2023-09-18T20:42:00Z
_version_	1777409427747373056

Brain tumor quantification equation: modeled on complete step response algorithm

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