Framework for enhancement of image guided surgery: finding area of tumor volume

• Main Authors: Hameed, Shihab A., Aboaba, Abdulfattah A., Khalifa, Othman Omran, Hassan Abdalla Hashim, Aisha, Daoud, Jamal Ibrahim, Saeed, Rashid Abdelhaleem, Mahmoud, Omer
• Format: Article
• Language: English
• Published: INSI Publications 2012
• Online Access: http://irep.iium.edu.my/23004/1/Framework_for_enhancement_of_image_guided_surgery_Finding_area_of_tumor_volume.pdf; http://irep.iium.edu.my/23004/
• Institution: Universiti Islam Antarabangsa Malaysia

The advantages offered by Image Guided Surgery (IGS) to medical professionals during a minimally-invasive surgical operation are overwhelming. Although a sophistication growth in imaging techniques can provide the surgeon with high quality guidance but there is still a need for more improvement in IGS application such as: computational time which impedes its full deployment in intra-operative surgical interventional, segmentation, registration, visualization, IGS application software and instrumentation. This paper presents a model for 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. The implementation of such improvement will result into fast and better anatomical segmentation and fast computational scheme. The other problem discussed in this paper is to find a suitable method to determine the tumor volume in an accurate way that will help surgeon to remove it precisely.