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...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
INSI Publications
2012
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| Online Access: | http://irep.iium.edu.my/23004/1/Framework_for_enhancement_of_image_guided_surgery_Finding_area_of_tumor_volume.pdf |
| _version_ | 1825646483562561536 |
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| author | Hameed, Shihab A. Aboaba, Abdulfattah A. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Daoud, Jamal Ibrahim Saeed, Rashid Abdelhaleem Mahmoud, Omer |
| author_facet | Hameed, Shihab A. Aboaba, Abdulfattah A. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Daoud, Jamal Ibrahim Saeed, Rashid Abdelhaleem Mahmoud, Omer |
| author_sort | Hameed, Shihab A. |
| collection | IIUM |
| description | 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. |
| first_indexed | 2024-03-05T23:03:16Z |
| format | Article |
| id | oai:generic.eprints.org:23004 |
| institution | International Islamic University Malaysia |
| language | English |
| last_indexed | 2024-03-05T23:03:16Z |
| publishDate | 2012 |
| publisher | INSI Publications |
| record_format | dspace |
| spelling | oai:generic.eprints.org:230042020-10-23T00:20:08Z http://irep.iium.edu.my/23004/ Framework for enhancement of image guided surgery: finding area of tumor volume Hameed, Shihab A. Aboaba, Abdulfattah A. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Daoud, Jamal Ibrahim Saeed, Rashid Abdelhaleem Mahmoud, Omer 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. INSI Publications 2012 Article PeerReviewed application/pdf en http://irep.iium.edu.my/23004/1/Framework_for_enhancement_of_image_guided_surgery_Finding_area_of_tumor_volume.pdf Hameed, Shihab A. and Aboaba, Abdulfattah A. and Khalifa, Othman Omran and Hassan Abdalla Hashim, Aisha and Daoud, Jamal Ibrahim and Saeed, Rashid Abdelhaleem and Mahmoud, Omer (2012) Framework for enhancement of image guided surgery: finding area of tumor volume. Australian Journal of Basic and Applied Sciences, 6 (1). pp. 9-16. ISSN 1991-8178 |
| spellingShingle | Hameed, Shihab A. Aboaba, Abdulfattah A. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Daoud, Jamal Ibrahim Saeed, Rashid Abdelhaleem Mahmoud, Omer Framework for enhancement of image guided surgery: finding area of tumor volume |
| title | Framework for enhancement of image guided surgery: finding area of tumor volume
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| title_full | Framework for enhancement of image guided surgery: finding area of tumor volume
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| title_fullStr | Framework for enhancement of image guided surgery: finding area of tumor volume
|
| title_full_unstemmed | Framework for enhancement of image guided surgery: finding area of tumor volume
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| title_short | Framework for enhancement of image guided surgery: finding area of tumor volume
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| title_sort | framework for enhancement of image guided surgery finding area of tumor volume |
| url | http://irep.iium.edu.my/23004/1/Framework_for_enhancement_of_image_guided_surgery_Finding_area_of_tumor_volume.pdf |
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