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 surge...
| Main Authors: | , , , , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2010
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/11529/1/Toward_effective_computational_archetype.pdf |
| _version_ | 1796875887255224320 |
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| author | Aboaba, Abdulfattah A. Hameed, Shihab A. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Harun, Rahmat O Rose, Nurzaini |
| author_facet | Aboaba, Abdulfattah A. Hameed, Shihab A. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Harun, Rahmat O Rose, Nurzaini |
| author_sort | Aboaba, Abdulfattah A. |
| collection | IIUM |
| description | 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
interventional, 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. |
| first_indexed | 2024-03-05T22:44:56Z |
| format | Proceeding Paper |
| id | oai:generic.eprints.org:11529 |
| institution | International Islamic University Malaysia |
| language | English |
| last_indexed | 2024-03-05T22:44:56Z |
| publishDate | 2010 |
| record_format | dspace |
| spelling | oai:generic.eprints.org:115292020-07-28T07:52:11Z http://irep.iium.edu.my/11529/ Toward effective computational archetype for image guided neuro-surgery Aboaba, Abdulfattah A. Hameed, Shihab A. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Harun, Rahmat O Rose, Nurzaini TK Electrical engineering. Electronics Nuclear engineering 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 interventional, 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. 2010 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/11529/1/Toward_effective_computational_archetype.pdf Aboaba, Abdulfattah A. and Hameed, Shihab A. and Khalifa, Othman Omran and Hassan Abdalla Hashim, Aisha and Harun, Rahmat O and Rose, Nurzaini (2010) Toward effective computational archetype for image guided neuro-surgery. In: 2010 International Conference on Information Security and Artificial Intelligence (ISAI 2010, 17-19 Dec 2010 , Chengdu, China. http://www.isai2010.org/ |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Aboaba, Abdulfattah A. Hameed, Shihab A. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Harun, Rahmat O Rose, Nurzaini Toward effective computational archetype for image guided neuro-surgery |
| title | Toward effective computational archetype for image guided neuro-surgery |
| title_full | Toward effective computational archetype for image guided neuro-surgery |
| title_fullStr | Toward effective computational archetype for image guided neuro-surgery |
| title_full_unstemmed | Toward effective computational archetype for image guided neuro-surgery |
| title_short | Toward effective computational archetype for image guided neuro-surgery |
| title_sort | toward effective computational archetype for image guided neuro surgery |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://irep.iium.edu.my/11529/1/Toward_effective_computational_archetype.pdf |
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