A novel approach to tumor quantification and graphical model for image guided surgery
One of the problems confronting image guided surgery (IGS) is the time consumed at some stages of the procedure. This paper presents a methodological approach to calculating tumor volume by processing the MR image data records of patients and goes further to develop tumor model which could be use as...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Scottish Journal
2013
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/33586/ http://irep.iium.edu.my/33586/1/Pages_from_SJASS_Vol.12_No.1-paper.pdf |
| _version_ | 1848780773921914880 |
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| author | Aboaba, Abdulfattah A. Hameed, Shihab A. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Harun, Rahmat H. Mohd Zain, Nurzaini Rose |
| author_facet | Aboaba, Abdulfattah A. Hameed, Shihab A. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Harun, Rahmat H. Mohd Zain, Nurzaini Rose |
| author_sort | Aboaba, Abdulfattah A. |
| building | IIUM Repository |
| collection | Online Access |
| description | One of the problems confronting image guided surgery (IGS) is the time consumed at some stages of the procedure. This paper presents a methodological approach to calculating tumor volume by processing the MR image data records of patients and goes further to develop tumor model which could be use as a standard graphical model for tumor growth and decline for quick visual observation of patient’s tumor volume prior to IGS planning up to surgical intervention phase of the treatment. The work adopts a stepwise approach that starts with tumor area determination with the aid of iterative spatial sectoring (ISS) which enables tumor volume
calculation using discrete integral function. This was followed by tumor area (TA) interpolation based on fast Fourier transform (FFT) and tumor averaging that engender tumor shape model in graphic form. This approach is novel and robust in that the model could also use non-IGS protocol images thereby enabling it reused for IGS planning and intervention. The resulting graphical model provide a quick way of comprehending tumor spread within the brain
anatomy, and a fast method of approximating tumor volume during IGS planning, and intervention. |
| first_indexed | 2025-11-14T15:39:00Z |
| format | Article |
| id | iium-33586 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T15:39:00Z |
| publishDate | 2013 |
| publisher | Scottish Journal |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-335862020-10-26T00:42:24Z http://irep.iium.edu.my/33586/ A novel approach to tumor quantification and graphical model for image guided surgery Aboaba, Abdulfattah A. Hameed, Shihab A. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Harun, Rahmat H. Mohd Zain, Nurzaini Rose RD701 Orthopedics T Technology (General) One of the problems confronting image guided surgery (IGS) is the time consumed at some stages of the procedure. This paper presents a methodological approach to calculating tumor volume by processing the MR image data records of patients and goes further to develop tumor model which could be use as a standard graphical model for tumor growth and decline for quick visual observation of patient’s tumor volume prior to IGS planning up to surgical intervention phase of the treatment. The work adopts a stepwise approach that starts with tumor area determination with the aid of iterative spatial sectoring (ISS) which enables tumor volume calculation using discrete integral function. This was followed by tumor area (TA) interpolation based on fast Fourier transform (FFT) and tumor averaging that engender tumor shape model in graphic form. This approach is novel and robust in that the model could also use non-IGS protocol images thereby enabling it reused for IGS planning and intervention. The resulting graphical model provide a quick way of comprehending tumor spread within the brain anatomy, and a fast method of approximating tumor volume during IGS planning, and intervention. Scottish Journal 2013-06 Article PeerReviewed application/pdf en http://irep.iium.edu.my/33586/1/Pages_from_SJASS_Vol.12_No.1-paper.pdf Aboaba, Abdulfattah A. and Hameed, Shihab A. and Khalifa, Othman Omran and Hassan Abdalla Hashim, Aisha and Harun, Rahmat H. and Mohd Zain, Nurzaini Rose (2013) A novel approach to tumor quantification and graphical model for image guided surgery. Scottish Journal of Arts, Social Sciences and Scientific Studies, 12 (1). pp. 3-15. ISSN 2047-1278 http://scottishjournal.co.uk/paper/SJASS_Vol.12_No.1.pdf |
| spellingShingle | RD701 Orthopedics T Technology (General) Aboaba, Abdulfattah A. Hameed, Shihab A. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Harun, Rahmat H. Mohd Zain, Nurzaini Rose A novel approach to tumor quantification and graphical model for image guided surgery |
| title | A novel approach to tumor quantification and graphical model for image guided surgery |
| title_full | A novel approach to tumor quantification and graphical model for image guided surgery |
| title_fullStr | A novel approach to tumor quantification and graphical model for image guided surgery |
| title_full_unstemmed | A novel approach to tumor quantification and graphical model for image guided surgery |
| title_short | A novel approach to tumor quantification and graphical model for image guided surgery |
| title_sort | novel approach to tumor quantification and graphical model for image guided surgery |
| topic | RD701 Orthopedics T Technology (General) |
| url | http://irep.iium.edu.my/33586/ http://irep.iium.edu.my/33586/ http://irep.iium.edu.my/33586/1/Pages_from_SJASS_Vol.12_No.1-paper.pdf |