Reconstruction of patient-specific cerebral aneurysm model through image segmentation
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...
| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Springer, Singapore
2021
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/31686/1/Lim%20Sheh%20Hong_SIMM%20118.pdf |
| _version_ | 1796994657520975872 |
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| author | Hong, Lim Seh Mohd Azrul Hisham, Mohd Adib Mohd Shafie, Abdullah Nur Hartini, Mohd Taib Radhiana, Hassan Azian, Abd Aziz |
| author_facet | Hong, Lim Seh Mohd Azrul Hisham, Mohd Adib Mohd Shafie, Abdullah Nur Hartini, Mohd Taib Radhiana, Hassan Azian, Abd Aziz |
| author_sort | Hong, Lim Seh |
| collection | UMP |
| description | 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, |
| first_indexed | 2024-03-06T12:50:57Z |
| format | Conference or Workshop Item |
| id | UMPir31686 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:50:57Z |
| publishDate | 2021 |
| publisher | Springer, Singapore |
| record_format | dspace |
| spelling | UMPir316862021-07-22T01:42:54Z http://umpir.ump.edu.my/id/eprint/31686/ Reconstruction of patient-specific cerebral aneurysm model through image segmentation Hong, Lim Seh Mohd Azrul Hisham, Mohd Adib Mohd Shafie, Abdullah Nur Hartini, Mohd Taib Radhiana, Hassan Azian, Abd Aziz TA Engineering (General). Civil engineering (General) 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, Springer, Singapore 2021-06-20 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/31686/1/Lim%20Sheh%20Hong_SIMM%20118.pdf 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 https: //doi.org/10.1007/978-981-16-0866-7_16 |
| spellingShingle | TA Engineering (General). Civil engineering (General) Hong, Lim Seh Mohd Azrul Hisham, Mohd Adib Mohd Shafie, Abdullah Nur Hartini, Mohd Taib Radhiana, Hassan Azian, Abd Aziz Reconstruction of patient-specific cerebral aneurysm model through image segmentation |
| title | Reconstruction of patient-specific cerebral aneurysm model through image segmentation |
| title_full | Reconstruction of patient-specific cerebral aneurysm model through image segmentation |
| title_fullStr | Reconstruction of patient-specific cerebral aneurysm model through image segmentation |
| title_full_unstemmed | Reconstruction of patient-specific cerebral aneurysm model through image segmentation |
| title_short | Reconstruction of patient-specific cerebral aneurysm model through image segmentation |
| title_sort | reconstruction of patient specific cerebral aneurysm model through image segmentation |
| topic | TA Engineering (General). Civil engineering (General) |
| url | http://umpir.ump.edu.my/id/eprint/31686/1/Lim%20Sheh%20Hong_SIMM%20118.pdf |
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