Reconstruction of patient-specific cerebral aneurysm model through image segmentation

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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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)
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
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