Dynamic Tracking of Lung Deformation during Breathing by Using Particle Method
To reduce the side effects and to improve the efficiency of radiation therapy in lung cancer, a pinpoint radiation therapy system is under development. In the system, the movement of lung tumor during breathing could be estimated by employing a suitable numerical modeling technique. This paper prese...
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| Format: | Article |
| Language: | English |
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Wiley
2009-01-01
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| Series: | Modelling and Simulation in Engineering |
| Online Access: | http://dx.doi.org/10.1155/2009/190307 |
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| _version_ | 1832561103441231872 |
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| author | Subas Chhatkuli Seiichi Koshizuka Mitsuru Uesaka |
| author_facet | Subas Chhatkuli Seiichi Koshizuka Mitsuru Uesaka |
| author_sort | Subas Chhatkuli |
| collection | DOAJ |
| description | To reduce the side effects and to improve the efficiency of radiation therapy in lung cancer, a pinpoint radiation therapy system is under development. In the system, the movement of lung tumor during breathing could be estimated by employing a suitable numerical modeling technique. This paper presents a gridless numerical technique called Moving Particle Semi-implicit (MPS) method to simulate the lung deformation during breathing. The potential of the proposed method to employ in the future pinpoint radiation therapy system has been explored. Deformation of lung during breathing was dynamically tracked and compared against the experimental results at two different locations (upper lobe and lower lobe). Numerical simulations showed that the deformation of lung surface ranged from less than 4 mm to over 20 mm depending on the location at the surface of lung. The simulation showed that the lower section of lung exhibited comparatively large displacement than the upper section. Comparing with the experimental data, the lung surface displacement during inspiration process was predicted reasonably well. Comparison of numerical prediction with experimental observations showed that the root mean squared error was about 2 mm at lower lobe and less than 1 mm at upper lobe at lung surface. |
| format | Article |
| id | doaj-art-946ec1e8ed7143cca2752098d38cf426 |
| institution | Kabale University |
| issn | 1687-5591 1687-5605 |
| language | English |
| publishDate | 2009-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Modelling and Simulation in Engineering |
| spelling | doaj-art-946ec1e8ed7143cca2752098d38cf4262025-02-03T01:25:58ZengWileyModelling and Simulation in Engineering1687-55911687-56052009-01-01200910.1155/2009/190307190307Dynamic Tracking of Lung Deformation during Breathing by Using Particle MethodSubas Chhatkuli0Seiichi Koshizuka1Mitsuru Uesaka2Department of Nuclear Engineering and Management, The University of Tokyo, 2-11-6 Yayoi, Bunkyo-Ku, Tokyo 113-0032, JapanDepartment of Quantum Engineering and System Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo 113-8656, JapanNuclear Professional School, School of Engineering, The University of Tokyo, Tokai-Mura, Naka-Gun 319-1188, JapanTo reduce the side effects and to improve the efficiency of radiation therapy in lung cancer, a pinpoint radiation therapy system is under development. In the system, the movement of lung tumor during breathing could be estimated by employing a suitable numerical modeling technique. This paper presents a gridless numerical technique called Moving Particle Semi-implicit (MPS) method to simulate the lung deformation during breathing. The potential of the proposed method to employ in the future pinpoint radiation therapy system has been explored. Deformation of lung during breathing was dynamically tracked and compared against the experimental results at two different locations (upper lobe and lower lobe). Numerical simulations showed that the deformation of lung surface ranged from less than 4 mm to over 20 mm depending on the location at the surface of lung. The simulation showed that the lower section of lung exhibited comparatively large displacement than the upper section. Comparing with the experimental data, the lung surface displacement during inspiration process was predicted reasonably well. Comparison of numerical prediction with experimental observations showed that the root mean squared error was about 2 mm at lower lobe and less than 1 mm at upper lobe at lung surface.http://dx.doi.org/10.1155/2009/190307 |
| spellingShingle | Subas Chhatkuli Seiichi Koshizuka Mitsuru Uesaka Dynamic Tracking of Lung Deformation during Breathing by Using Particle Method Modelling and Simulation in Engineering |
| title | Dynamic Tracking of Lung Deformation during Breathing by Using Particle Method |
| title_full | Dynamic Tracking of Lung Deformation during Breathing by Using Particle Method |
| title_fullStr | Dynamic Tracking of Lung Deformation during Breathing by Using Particle Method |
| title_full_unstemmed | Dynamic Tracking of Lung Deformation during Breathing by Using Particle Method |
| title_short | Dynamic Tracking of Lung Deformation during Breathing by Using Particle Method |
| title_sort | dynamic tracking of lung deformation during breathing by using particle method |
| url | http://dx.doi.org/10.1155/2009/190307 |
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