Framework for enhancement of image guided surgery: finding area of tumor volume
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...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| 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/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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. |
|---|