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...
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| Main Authors: | , , , , , , |
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| 格式: | Article |
| 語言: | English |
| 出版: |
INSI Publications
2012
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| 在線閱讀: | 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/ |
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| 總結: | 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. |
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