Toward effective computational archetype for image guided neuro-surgery

In recent years, the advantages offered by Image Guided Surgery (IGS)/ Computer Aided Surgery (CAS) to patients and medical professionals during a minimally-invasive surgical operation are overwhelming. Imaging techniques have had immense growth in their sophistication and can provide the surge...

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Main Authors:	Aboaba, Abdulfattah A., Hameed, Shihab A., Khalifa, Othman Omran, Hassan Abdalla Hashim, Aisha, Harun, Rahmat O, Rose, Nurzaini
Format:	Conference or Workshop Item
Language:	English
Published:	2010
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://irep.iium.edu.my/11529/ http://irep.iium.edu.my/11529/ http://irep.iium.edu.my/11529/1/Toward_effective_computational_archetype.pdf

id	iium-11529
recordtype	eprints
spelling	iium-115292017-06-16T01:37:53Z http://irep.iium.edu.my/11529/ Toward effective computational archetype for image guided neuro-surgery Aboaba, Abdulfattah A. Hameed, Shihab A. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Harun, Rahmat O Rose, Nurzaini TK Electrical engineering. Electronics Nuclear engineering In recent years, the advantages offered by Image Guided Surgery (IGS)/ Computer Aided Surgery (CAS) to patients and medical professionals during a minimally-invasive surgical operation are overwhelming. Imaging techniques have had immense growth in their sophistication and can provide the surgeon with high quality guidance. This notwithstanding there is still room for improvement in almost all the areas of IGS application and stages such area as computational time which impedes its full deployment in intra-operative surgical interventional, segmentation, registration, visualization, plus IGS application software and instrumentation. This paper presents a model for the attainment of a more effective computational scheme by looking at possible computational improvement at all stages of IGS procedure but focusing on two aspects of IGS relating to intra-operative surgical intervention. If implemented, it will result into fast and better anatomical segmentation and fast computational scheme. 2010 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/11529/1/Toward_effective_computational_archetype.pdf Aboaba, Abdulfattah A. and Hameed, Shihab A. and Khalifa, Othman Omran and Hassan Abdalla Hashim, Aisha and Harun, Rahmat O and Rose, Nurzaini (2010) Toward effective computational archetype for image guided neuro-surgery. In: 2010 International Conference on Information Security and Artificial Intelligence (ISAI 2010, 17-19 Dec 2010 , Chengdu, China. http://www.isai2010.org/
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Aboaba, Abdulfattah A. Hameed, Shihab A. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Harun, Rahmat O Rose, Nurzaini Toward effective computational archetype for image guided neuro-surgery
description	In recent years, the advantages offered by Image Guided Surgery (IGS)/ Computer Aided Surgery (CAS) to patients and medical professionals during a minimally-invasive surgical operation are overwhelming. Imaging techniques have had immense growth in their sophistication and can provide the surgeon with high quality guidance. This notwithstanding there is still room for improvement in almost all the areas of IGS application and stages such area as computational time which impedes its full deployment in intra-operative surgical interventional, segmentation, registration, visualization, plus IGS application software and instrumentation. This paper presents a model for the attainment of a more effective computational scheme by looking at possible computational improvement at all stages of IGS procedure but focusing on two aspects of IGS relating to intra-operative surgical intervention. If implemented, it will result into fast and better anatomical segmentation and fast computational scheme.
format	Conference or Workshop Item
author	Aboaba, Abdulfattah A. Hameed, Shihab A. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Harun, Rahmat O Rose, Nurzaini
author_facet	Aboaba, Abdulfattah A. Hameed, Shihab A. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Harun, Rahmat O Rose, Nurzaini
author_sort	Aboaba, Abdulfattah A.
title	Toward effective computational archetype for image guided neuro-surgery
title_short	Toward effective computational archetype for image guided neuro-surgery
title_full	Toward effective computational archetype for image guided neuro-surgery
title_fullStr	Toward effective computational archetype for image guided neuro-surgery
title_full_unstemmed	Toward effective computational archetype for image guided neuro-surgery
title_sort	toward effective computational archetype for image guided neuro-surgery
publishDate	2010
url	http://irep.iium.edu.my/11529/ http://irep.iium.edu.my/11529/ http://irep.iium.edu.my/11529/1/Toward_effective_computational_archetype.pdf
first_indexed	2023-09-18T20:20:50Z
last_indexed	2023-09-18T20:20:50Z
_version_	1777408095679414272

Toward effective computational archetype for image guided neuro-surgery

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