Hong, Lim Seh and Mohd Azrul Hisham, Mohd Adib and Mohd Shafie, Abdullah and Nur Hartini, Mohd Taib and Radhiana, Hassan and Azian, Abd Aziz (2021) Reconstruction of patient-specific cerebral aneurysm model through image segmentation. In: The 3 rd Symposium on Intelligent Manufacturing and Mechatronics, SympoSIMM 2020 , 28 October 2020 , Virtual/Online Conference (Faculty of Mechanical Engineering Technology, Universiti Malaysia Perlis). pp. 207-214.. ISBN 9789811608667
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Abstract
The diagnostic assessment of cerebrovascular disease makes use of computational simulation as a predicting tool to determine hemodynamics factor contributing to the disease from patient-specific models which imitate the actual shape of the object of interest. However, the patient-specific models are generally reconstructed from the medical images subjectively. Image segmentation is commonly performed to produce object of interest with high visualization. In order to produce patient-specific anatomical model, a systematic adjustment on image intensity was performed in this study. This paper tends to present the reconstruction of three-dimensional (3D) patient-specific cerebral aneurysm model through systematic image segmentation by using threshold coefficients,
| Item Type: | Conference or Workshop Item (Lecture) |
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| Uncontrolled Keywords: | Cerebral Aneurysm, Model Reconstruction, Segmentation, Threshold Coefficient |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
| Faculty/Division: | College of Engineering |
| Depositing User: | Mr. Mohd Ariffin Abdul Aziz |
| Date Deposited: | 22 Jul 2021 01:42 |
| Last Modified: | 22 Jul 2021 01:42 |
| URI: | http://umpir.ump.edu.my/id/eprint/31686 |
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