Open Meshed Anatomy: Towards a comprehensive finite element hexahedral mesh derived from open atlases
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arXiv
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| Auteurs principaux: | , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866911781934333952 |
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| author | Huynh, Andy Trung Zwick, Benjamin Halle, Michael Wittek, Adam Miller, Karol |
| author_facet | Huynh, Andy Trung Zwick, Benjamin Halle, Michael Wittek, Adam Miller, Karol |
| contents | Computational simulations using methods such as the finite element (FE) method rely on high-quality meshes for achieving accurate results. This study introduces a method for creating a high-quality hexahedral mesh using the Open Anatomy Project's brain atlas. Our atlas-based FE hexahedral mesh of the brain mitigates potential inaccuracies and uncertainties due to segmentation - a process that often requires input of an inexperienced analyst. It accomplishes this by leveraging existing segmentation from the atlas. We further extend the mesh's usability by forming a two-way correspondence between the atlas and mesh. This feature facilitates property assignment for computational simulations and enhances result analysis within an anatomical context. We demonstrate the application of the mesh by solving the electroencephalography (EEG) forward problem. Our method simplifies the mesh creation process, reducing time and effort, and provides a more comprehensive and contextually enriched visualisation of simulation outcomes. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_14303 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Open Meshed Anatomy: Towards a comprehensive finite element hexahedral mesh derived from open atlases Huynh, Andy Trung Zwick, Benjamin Halle, Michael Wittek, Adam Miller, Karol Computational Engineering, Finance, and Science Computational simulations using methods such as the finite element (FE) method rely on high-quality meshes for achieving accurate results. This study introduces a method for creating a high-quality hexahedral mesh using the Open Anatomy Project's brain atlas. Our atlas-based FE hexahedral mesh of the brain mitigates potential inaccuracies and uncertainties due to segmentation - a process that often requires input of an inexperienced analyst. It accomplishes this by leveraging existing segmentation from the atlas. We further extend the mesh's usability by forming a two-way correspondence between the atlas and mesh. This feature facilitates property assignment for computational simulations and enhances result analysis within an anatomical context. We demonstrate the application of the mesh by solving the electroencephalography (EEG) forward problem. Our method simplifies the mesh creation process, reducing time and effort, and provides a more comprehensive and contextually enriched visualisation of simulation outcomes. |
| title | Open Meshed Anatomy: Towards a comprehensive finite element hexahedral mesh derived from open atlases |
| topic | Computational Engineering, Finance, and Science |
| url | https://arxiv.org/abs/2402.14303 |