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Novel, fast and efficient image-based 3D modeling method and its application in fracture risk evaluation
Constructing models based on computed tomography images for finite element analysis (FEA) is challenging under pathological conditions. In the present study, an innovative method was introduced that uses Siemens syngo(®) 3D software for processing models and Mimics software for further modeling. Com...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4043561/ https://www.ncbi.nlm.nih.gov/pubmed/24926348 http://dx.doi.org/10.3892/etm.2014.1645 |
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author | LI, DAN XIAO, ZHITAO WANG, GANG ZHAO, GUOQING |
author_facet | LI, DAN XIAO, ZHITAO WANG, GANG ZHAO, GUOQING |
author_sort | LI, DAN |
collection | PubMed |
description | Constructing models based on computed tomography images for finite element analysis (FEA) is challenging under pathological conditions. In the present study, an innovative method was introduced that uses Siemens syngo(®) 3D software for processing models and Mimics software for further modeling. Compared with the slice-by-slice traditional manual margin discrimination, the new 3D modeling method utilizes automatic tissue margin determination and 3D cutting using syngo software. The modeling morphologies of the two methods were similar; however, the 3D modeling method was 8–10 times faster than the traditional method, particularly in cases with osteoporosis and osteophytes. A comparative FEA study of the lumbar spines of young and elderly patients, on the basis of the models constructed by the 3D modeling method, showed peak stress elevation in the vertebrae of elderly patients. Stress distribution was homogeneous in the entire vertebrae of young individuals. By contrast, stress redistribution in the vertebrae of the elderly was concentrated in the anterior cortex of the vertebrae, which explains the high fracture risk mechanism in elderly individuals. In summary, the new 3D modeling method is highly efficient, accurate and faster than traditional methods. The method also allows reliable FEA in pathological cases with osteoporosis and osteophytes. |
format | Online Article Text |
id | pubmed-4043561 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-40435612014-06-12 Novel, fast and efficient image-based 3D modeling method and its application in fracture risk evaluation LI, DAN XIAO, ZHITAO WANG, GANG ZHAO, GUOQING Exp Ther Med Articles Constructing models based on computed tomography images for finite element analysis (FEA) is challenging under pathological conditions. In the present study, an innovative method was introduced that uses Siemens syngo(®) 3D software for processing models and Mimics software for further modeling. Compared with the slice-by-slice traditional manual margin discrimination, the new 3D modeling method utilizes automatic tissue margin determination and 3D cutting using syngo software. The modeling morphologies of the two methods were similar; however, the 3D modeling method was 8–10 times faster than the traditional method, particularly in cases with osteoporosis and osteophytes. A comparative FEA study of the lumbar spines of young and elderly patients, on the basis of the models constructed by the 3D modeling method, showed peak stress elevation in the vertebrae of elderly patients. Stress distribution was homogeneous in the entire vertebrae of young individuals. By contrast, stress redistribution in the vertebrae of the elderly was concentrated in the anterior cortex of the vertebrae, which explains the high fracture risk mechanism in elderly individuals. In summary, the new 3D modeling method is highly efficient, accurate and faster than traditional methods. The method also allows reliable FEA in pathological cases with osteoporosis and osteophytes. D.A. Spandidos 2014-06 2014-03-28 /pmc/articles/PMC4043561/ /pubmed/24926348 http://dx.doi.org/10.3892/etm.2014.1645 Text en Copyright © 2014, Spandidos Publications http://creativecommons.org/licenses/by/3.0 This is an open-access article licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. The article may be redistributed, reproduced, and reused for non-commercial purposes, provided the original source is properly cited. |
spellingShingle | Articles LI, DAN XIAO, ZHITAO WANG, GANG ZHAO, GUOQING Novel, fast and efficient image-based 3D modeling method and its application in fracture risk evaluation |
title | Novel, fast and efficient image-based 3D modeling method and its application in fracture risk evaluation |
title_full | Novel, fast and efficient image-based 3D modeling method and its application in fracture risk evaluation |
title_fullStr | Novel, fast and efficient image-based 3D modeling method and its application in fracture risk evaluation |
title_full_unstemmed | Novel, fast and efficient image-based 3D modeling method and its application in fracture risk evaluation |
title_short | Novel, fast and efficient image-based 3D modeling method and its application in fracture risk evaluation |
title_sort | novel, fast and efficient image-based 3d modeling method and its application in fracture risk evaluation |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4043561/ https://www.ncbi.nlm.nih.gov/pubmed/24926348 http://dx.doi.org/10.3892/etm.2014.1645 |
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