Image, geometry and finite element mesh datasets for analysis of relationship between abdominal aortic aneurysm symptoms and stress in walls of abdominal aortic aneurysm
These datasets contain Computed Tomography (CT) images of 19 patients with Abdominal Aortic Aneurysm (AAA) together with 19 patient-specific geometry data and computational grids (finite element meshes) created from these images applied in the research reported in Journal of Surgical Research articl...
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| Format: | Article |
| Language: | English |
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Elsevier
2020-06-01
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| Series: | Data in Brief |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340920303450 |
| _version_ | 1811208200678014976 |
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| author | Adam Wittek Hozan Mufty Alastair Catlin Christopher Rogers Bradley Saunders Ross Sciarrone Inge Fourneau Bart Meuris Angus Tavner Grand Roman Joldes Karol Miller |
| author_facet | Adam Wittek Hozan Mufty Alastair Catlin Christopher Rogers Bradley Saunders Ross Sciarrone Inge Fourneau Bart Meuris Angus Tavner Grand Roman Joldes Karol Miller |
| author_sort | Adam Wittek |
| collection | DOAJ |
| description | These datasets contain Computed Tomography (CT) images of 19 patients with Abdominal Aortic Aneurysm (AAA) together with 19 patient-specific geometry data and computational grids (finite element meshes) created from these images applied in the research reported in Journal of Surgical Research article “Is There A Relationship Between Stress in Walls of Abdominal Aortic Aneurysm and Symptoms?”[1].The images were randomly selected from the retrospective database of University Hospitals Leuven (Leuven, Belgium) and provided to The University of Western Australia's Intelligent Systems for Medicine Laboratory. The analysis was conducted using our freely-available open-source software BioPARR (Joldes et al., 2017) created at The University of Western Australia. The analysis steps include image segmentation to obtain the patient-specific AAA geometry, construction of computational grids (finite element meshes), and AAA stress computation. We use well-established and widely used data file formats (Nearly Raw Raster Data or NRRD for the images, Stereolitography or STL format for geometry, and Abaqus finite element code keyword format for the finite element meshes). This facilitates re-use of our datasets in practically unlimited range of studies that rely on medical image analysis and computational biomechanics to investigate and formulate indicators and predictors of AAA symptoms. |
| first_indexed | 2024-04-12T04:18:10Z |
| format | Article |
| id | doaj.art-bffa65dae2d34c1ead59bc67c135310b |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-04-12T04:18:10Z |
| publishDate | 2020-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-bffa65dae2d34c1ead59bc67c135310b2022-12-22T03:48:20ZengElsevierData in Brief2352-34092020-06-0130105451Image, geometry and finite element mesh datasets for analysis of relationship between abdominal aortic aneurysm symptoms and stress in walls of abdominal aortic aneurysmAdam Wittek0Hozan Mufty1Alastair Catlin2Christopher Rogers3Bradley Saunders4Ross Sciarrone5Inge Fourneau6Bart Meuris7Angus Tavner8Grand Roman Joldes9Karol Miller10Intelligent Systems for Medicine Laboratory, The University of Western Australia, Perth, Western Australia, Australia; Corresponding author.Vascular Surgery, University Hospitals Leuven, BelgiumIntelligent Systems for Medicine Laboratory, The University of Western Australia, Perth, Western Australia, AustraliaIntelligent Systems for Medicine Laboratory, The University of Western Australia, Perth, Western Australia, AustraliaIntelligent Systems for Medicine Laboratory, The University of Western Australia, Perth, Western Australia, AustraliaIntelligent Systems for Medicine Laboratory, The University of Western Australia, Perth, Western Australia, AustraliaVascular Surgery, University Hospitals Leuven, BelgiumCardiac Surgery, University Hospitals Leuven, BelgiumIntelligent Systems for Medicine Laboratory, The University of Western Australia, Perth, Western Australia, AustraliaIntelligent Systems for Medicine Laboratory, The University of Western Australia, Perth, Western Australia, AustraliaIntelligent Systems for Medicine Laboratory, The University of Western Australia, Perth, Western Australia, AustraliaThese datasets contain Computed Tomography (CT) images of 19 patients with Abdominal Aortic Aneurysm (AAA) together with 19 patient-specific geometry data and computational grids (finite element meshes) created from these images applied in the research reported in Journal of Surgical Research article “Is There A Relationship Between Stress in Walls of Abdominal Aortic Aneurysm and Symptoms?”[1].The images were randomly selected from the retrospective database of University Hospitals Leuven (Leuven, Belgium) and provided to The University of Western Australia's Intelligent Systems for Medicine Laboratory. The analysis was conducted using our freely-available open-source software BioPARR (Joldes et al., 2017) created at The University of Western Australia. The analysis steps include image segmentation to obtain the patient-specific AAA geometry, construction of computational grids (finite element meshes), and AAA stress computation. We use well-established and widely used data file formats (Nearly Raw Raster Data or NRRD for the images, Stereolitography or STL format for geometry, and Abaqus finite element code keyword format for the finite element meshes). This facilitates re-use of our datasets in practically unlimited range of studies that rely on medical image analysis and computational biomechanics to investigate and formulate indicators and predictors of AAA symptoms.http://www.sciencedirect.com/science/article/pii/S2352340920303450Abdominal aortic aneurysmPatient-specific modellingFinite element methodSymptomsBiomechanics |
| spellingShingle | Adam Wittek Hozan Mufty Alastair Catlin Christopher Rogers Bradley Saunders Ross Sciarrone Inge Fourneau Bart Meuris Angus Tavner Grand Roman Joldes Karol Miller Image, geometry and finite element mesh datasets for analysis of relationship between abdominal aortic aneurysm symptoms and stress in walls of abdominal aortic aneurysm Data in Brief Abdominal aortic aneurysm Patient-specific modelling Finite element method Symptoms Biomechanics |
| title | Image, geometry and finite element mesh datasets for analysis of relationship between abdominal aortic aneurysm symptoms and stress in walls of abdominal aortic aneurysm |
| title_full | Image, geometry and finite element mesh datasets for analysis of relationship between abdominal aortic aneurysm symptoms and stress in walls of abdominal aortic aneurysm |
| title_fullStr | Image, geometry and finite element mesh datasets for analysis of relationship between abdominal aortic aneurysm symptoms and stress in walls of abdominal aortic aneurysm |
| title_full_unstemmed | Image, geometry and finite element mesh datasets for analysis of relationship between abdominal aortic aneurysm symptoms and stress in walls of abdominal aortic aneurysm |
| title_short | Image, geometry and finite element mesh datasets for analysis of relationship between abdominal aortic aneurysm symptoms and stress in walls of abdominal aortic aneurysm |
| title_sort | image geometry and finite element mesh datasets for analysis of relationship between abdominal aortic aneurysm symptoms and stress in walls of abdominal aortic aneurysm |
| topic | Abdominal aortic aneurysm Patient-specific modelling Finite element method Symptoms Biomechanics |
| url | http://www.sciencedirect.com/science/article/pii/S2352340920303450 |
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