Brain tumor quantification equation: modeled on complete step response algorithm
In Image Guided neuro-Surgery (IGnS) protocol relating to tumor, the planning stage is the bottleneck where most times are spent reconstructing the slices in order to; quantify the tumor, get the tumor shape and location relative to adjacent cells, and determine best incursion route among others. T...
| Main Authors: | , , , , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2012
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/28489/ http://irep.iium.edu.my/28489/1/ICCCE2012-Br_Tu_Quantification-06271364.pdf |
| _version_ | 1848779974477086720 |
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| author | Aboaba, Abdulfattah A. Hameed, Shihab A. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Harun, Rahmat Zain, Norzaini Rose Mohd |
| author_facet | Aboaba, Abdulfattah A. Hameed, Shihab A. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Harun, Rahmat Zain, Norzaini Rose Mohd |
| author_sort | Aboaba, Abdulfattah A. |
| building | IIUM Repository |
| collection | Online Access |
| description | In Image Guided neuro-Surgery (IGnS) protocol
relating to tumor, the planning stage is the bottleneck where most times are spent reconstructing the slices in order to; quantify the tumor, get the tumor shape and location relative to adjacent cells, and determine best incursion route among others. This time consuming assignment is handled by a surgeon using any of the
standardized IGnS software. It has been observed that the
approach taken to quantify tumor in those software are simply
replicating the surgeons’ experience-based brain tumor
quantification technique fashionable in the pre-imaging era. The result is a quantification method that is time consuming, and at bests an approximation. What is presented here is a novel brain tumor quantification method based on step response algorithm utilizing a model which itself was based on step response model resulting in smart and rapid quantification of brain tumor
volume. |
| first_indexed | 2025-11-14T15:26:18Z |
| format | Proceeding Paper |
| id | iium-28489 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T15:26:18Z |
| publishDate | 2012 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-284892020-10-23T04:14:07Z http://irep.iium.edu.my/28489/ Brain tumor quantification equation: modeled on complete step response algorithm Aboaba, Abdulfattah A. Hameed, Shihab A. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Harun, Rahmat Zain, Norzaini Rose Mohd T173.2 Technological change In Image Guided neuro-Surgery (IGnS) protocol relating to tumor, the planning stage is the bottleneck where most times are spent reconstructing the slices in order to; quantify the tumor, get the tumor shape and location relative to adjacent cells, and determine best incursion route among others. This time consuming assignment is handled by a surgeon using any of the standardized IGnS software. It has been observed that the approach taken to quantify tumor in those software are simply replicating the surgeons’ experience-based brain tumor quantification technique fashionable in the pre-imaging era. The result is a quantification method that is time consuming, and at bests an approximation. What is presented here is a novel brain tumor quantification method based on step response algorithm utilizing a model which itself was based on step response model resulting in smart and rapid quantification of brain tumor volume. 2012 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/28489/1/ICCCE2012-Br_Tu_Quantification-06271364.pdf Aboaba, Abdulfattah A. and Hameed, Shihab A. and Khalifa, Othman Omran and Hassan Abdalla Hashim, Aisha and Harun, Rahmat and Zain, Norzaini Rose Mohd (2012) Brain tumor quantification equation: modeled on complete step response algorithm. In: International Conference on Computer and Communication Engineering (ICCCE 2012), 3-5 July 2012, Seri Pacific Hotel Kuala Lumpur. http://dx.doi.org/10.1109/ICCCE.2012.6271364 doi:10.1109/ICCCE.2012.6271364 |
| spellingShingle | T173.2 Technological change Aboaba, Abdulfattah A. Hameed, Shihab A. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Harun, Rahmat Zain, Norzaini Rose Mohd Brain tumor quantification equation: modeled on complete step response algorithm |
| title | Brain tumor quantification equation: modeled on complete step response algorithm |
| title_full | Brain tumor quantification equation: modeled on complete step response algorithm |
| title_fullStr | Brain tumor quantification equation: modeled on complete step response algorithm |
| title_full_unstemmed | Brain tumor quantification equation: modeled on complete step response algorithm |
| title_short | Brain tumor quantification equation: modeled on complete step response algorithm |
| title_sort | brain tumor quantification equation: modeled on complete step response algorithm |
| topic | T173.2 Technological change |
| url | http://irep.iium.edu.my/28489/ http://irep.iium.edu.my/28489/ http://irep.iium.edu.my/28489/ http://irep.iium.edu.my/28489/1/ICCCE2012-Br_Tu_Quantification-06271364.pdf |