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 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 intervenlional, 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.
Image Guided Surgery Minimally-invasive Surgical Operation Surgical Intervenlional Computational Improvement Segmentation
Abdulfattah A. Aboaba Shihab A. Hameed Othman O. Khalifa Aisha H. Abdalla Rahmat O. Harun Nurzaini Rose
Department of Electrical a Computer Engineering, International Islamic University Malaysia Neuro-surgery, Hospital Kuala Lumpur Malaysia Radiology, Hospital Kuala Lumpur Malaysia
国际会议
成都
英文
1649-1653
2010-12-17（万方平台首次上网日期，不代表论文的发表时间）