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Toward effective computational archetype for image guided neuro-surgery

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.

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Abstract

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.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: 4428/11529 (ISBN : 9781424488704)The ISAI 2010 proceedings will be included in the IEEE Xplore, and indexed by the Ei Compendex, ISI Proceeding and other indexing services. Excellent papers will be recommended to an international journal for reviewing to publication.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Engineering
Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Fuziah Arifin
Date Deposited: 13 Jan 2012 12:52
Last Modified: 16 Jun 2017 09:37
URI: http://irep.iium.edu.my/id/eprint/11529

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