IIUM Repository

Towards a Computational Effective Paradigm for Image Guided Surgery (IGS)

Aboaba, Abdulfattah A. and Hameed, Shihab A. and Khalifa, Othman Omran and Hassan Abdalla Hashim, Aisha and Harun, Rahmat H. and Mohd Zain, Nurzaini Rose (2011) Towards a Computational Effective Paradigm for Image Guided Surgery (IGS). In: 4th International Conference on Mechatronics (ICOM'11), 17-19 May 2011, Kuala Lumpur.

[img] PDF (Towards a Computational Effective Paradigm for Image) - Published Version
Restricted to Repository staff only

Download (113kB) | Request a copy

Abstract

The adoption of minimally invasive method in surgical intervention occasioned by Image Guided Surgery (IGS) / Computer Aided Surgery (CAS) has further enhanced the acceptability of IGS into more areas of surgery such as spinal cord surgery, teleguided surgery, robotic controlled surgery, neuro surgery, and even orthopedic surgery and emergency situations which have hitherto least benefitted in IGS for certain obvious impediments. These achievements notwithstanding, IGS is still tied to the traditional procedure which from the perspective of a computer engineer makes it time consuming and irresponsive to patients’ needs. In this paper, a paradigm for a computational effective IGS is presented focusing on two aspects of the current IGS model which are believed to be the bottleneck for improvement viz: pre-operative planning, and inter-operative guidance. The proposed scheme is promising in that operation involving IGS would be quicker and safer.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: 4428/5799 ISBN : 978-1-61284-435-0
Subjects: T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Prof. Dr Othman O. Khalifa
Date Deposited: 22 Nov 2011 12:15
Last Modified: 16 Jun 2017 09:31
URI: http://irep.iium.edu.my/id/eprint/5799

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year