Particle-based simulation technique for medical applications
This paper proposes a particle-based nonlinear elastic object simulation technique for virtual surgery. Particle-based techniques are used to model and simulate nonlinear elastic objects, such as the skin and internal organs. This enables the simulation to consider various factors, such as location,...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2023-12-01
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| Series: | Connection Science |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/09540091.2023.2233718 |
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| _version_ | 1849684948532854784 |
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| author | Su-Kyung Sung Sang-Won Han Byeong-Seok Shin |
| author_facet | Su-Kyung Sung Sang-Won Han Byeong-Seok Shin |
| author_sort | Su-Kyung Sung |
| collection | DOAJ |
| description | This paper proposes a particle-based nonlinear elastic object simulation technique for virtual surgery. Particle-based techniques are used to model and simulate nonlinear elastic objects, such as the skin and internal organs. This enables the simulation to consider various factors, such as location, direction, and depth, when making incisions in the organs. However, the issue with this method is that it can only simulate precisely cut tissue during incision. Objects with elasticity, such as tissue, require the generation of complex debris during incision. This paper proposes a particle-based elastic object simulation technique to model the debris from torn tissue when making an incision in the organs. It can predict where the tissue will tear based on the maximum shear stress (MSS) theory and Tresca’s yield criterion when the force applied to the tissue exceeds the maximum stress. Newly generated particles at the predicted location are remeshed with nearby particles. We verified the superiority of our proposed method over traditional particle-based methods by accurately representing more complex debris and comparing the results of incisions in the same area of the body. This allows various incision types, such as stab wounds and lacerations, to be simulated. |
| format | Article |
| id | doaj-art-bcf8a5c6e915496ba545f474eb4acc4c |
| institution | DOAJ |
| issn | 0954-0091 1360-0494 |
| language | English |
| publishDate | 2023-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Connection Science |
| spelling | doaj-art-bcf8a5c6e915496ba545f474eb4acc4c2025-08-20T03:23:19ZengTaylor & Francis GroupConnection Science0954-00911360-04942023-12-0135110.1080/09540091.2023.22337182233718Particle-based simulation technique for medical applicationsSu-Kyung Sung0Sang-Won Han1Byeong-Seok Shin2Inha UniversityInha UniversityInha UniversityThis paper proposes a particle-based nonlinear elastic object simulation technique for virtual surgery. Particle-based techniques are used to model and simulate nonlinear elastic objects, such as the skin and internal organs. This enables the simulation to consider various factors, such as location, direction, and depth, when making incisions in the organs. However, the issue with this method is that it can only simulate precisely cut tissue during incision. Objects with elasticity, such as tissue, require the generation of complex debris during incision. This paper proposes a particle-based elastic object simulation technique to model the debris from torn tissue when making an incision in the organs. It can predict where the tissue will tear based on the maximum shear stress (MSS) theory and Tresca’s yield criterion when the force applied to the tissue exceeds the maximum stress. Newly generated particles at the predicted location are remeshed with nearby particles. We verified the superiority of our proposed method over traditional particle-based methods by accurately representing more complex debris and comparing the results of incisions in the same area of the body. This allows various incision types, such as stab wounds and lacerations, to be simulated.http://dx.doi.org/10.1080/09540091.2023.2233718incision of the organsdebrisparticle simulation |
| spellingShingle | Su-Kyung Sung Sang-Won Han Byeong-Seok Shin Particle-based simulation technique for medical applications Connection Science incision of the organs debris particle simulation |
| title | Particle-based simulation technique for medical applications |
| title_full | Particle-based simulation technique for medical applications |
| title_fullStr | Particle-based simulation technique for medical applications |
| title_full_unstemmed | Particle-based simulation technique for medical applications |
| title_short | Particle-based simulation technique for medical applications |
| title_sort | particle based simulation technique for medical applications |
| topic | incision of the organs debris particle simulation |
| url | http://dx.doi.org/10.1080/09540091.2023.2233718 |
| work_keys_str_mv | AT sukyungsung particlebasedsimulationtechniqueformedicalapplications AT sangwonhan particlebasedsimulationtechniqueformedicalapplications AT byeongseokshin particlebasedsimulationtechniqueformedicalapplications |