Data

4D CT Angiography and Computational Biomechanics Dataset for Assessing Structural Integrity of Abdominal Aortic Aneurysms in 20 Patients

The University of Western Australia
Jamshidian, Mostafa ; Wittek, Adam ; Sekhavat, Saeideh ; Alkhatib, Farah ; Ritter, Jens Carsten ; Parizel, Paul M. ; Mufty, Hozan ; Maleux, Geert ; Fourneau, Inge ; Gizewski, Elke R. ; Gassner, Eva ; Loizides, Alexander ; Lutz, Maximilian ; Enzmann, Florian K. ; Bernard, Florian ; Minvielle, Ludovic ; Fondanèche, Antoine ; Polce, Jane ; Wood, Christopher ; Miller, Karol
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.5281/zenodo.19182977&rft.title=4D CT Angiography and Computational Biomechanics Dataset for Assessing Structural Integrity of Abdominal Aortic Aneurysms in 20 Patients&rft.identifier=10.5281/zenodo.19182977&rft.publisher=Zenodo&rft.description=This Zenodo dataset provides a comprehensive collection of patient-specific imaging, geometric, and biomechanical data for the analysis of abdominal aortic aneurysms (AAA), supporting the study “Towards Personalised Assessment of Abdominal Aortic Aneurysm Structural Integrity” published in the International Journal for Numerical Methods in Biomedical Engineering. The dataset consists of electrocardiogram (ECG)-gated, time-resolved three-dimensional computed tomography angiography (4D CTA) data acquired over a full cardiac cycle from 20 patients diagnosed with AAA. For each patient, up to ten 3D CTA image frames are included, representing different phases of the cardiac cycle, including systolic and diastolic configurations. For each case, the dataset further includes patient-specific AAA wall geometries and corresponding finite element (FE) models and meshes derived from the imaging data and used for biomechanical analysis. In addition, computational outputs are provided for each patient, including wall strain and wall tension maps, as well as structural integrity index (SII) and relative structural integrity index (RSII) maps of the AAA wall. Together, these data enable detailed investigation of AAA wall structural integrity. The imaging data were acquired at three clinical centres: Fiona Stanley Hospital (Australia), Medical University of Innsbruck (Austria), and University Hospitals Leuven (Belgium). All data were processed at the Intelligent Systems for Medicine Laboratory, The University of Western Australia (ISML-UWA). AAA geometries were reconstructed using a workflow integrating AI-assisted segmentation and automated surface model generation. All files are provided in widely used, open-source formats, including NRRD for image data, VTP for geometries and computational results, and Abaqus input files for finite element models and meshes. This dataset can be reused for benchmarking and validation of AAA biomechanical analysis pipelines, including image-based strain computation, stress analysis, and structural integrity assessment. By providing both imaging data and derived biomechanical outputs, it also supports further investigation of AAA wall structural integrity in relation to disease severity and progression.&rft.creator=Jamshidian, Mostafa &rft.creator=Wittek, Adam &rft.creator=Sekhavat, Saeideh &rft.creator=Alkhatib, Farah &rft.creator=Ritter, Jens Carsten &rft.creator=Parizel, Paul M. &rft.creator=Mufty, Hozan &rft.creator=Maleux, Geert &rft.creator=Fourneau, Inge &rft.creator=Gizewski, Elke R. &rft.creator=Gassner, Eva &rft.creator=Loizides, Alexander &rft.creator=Lutz, Maximilian &rft.creator=Enzmann, Florian K. &rft.creator=Bernard, Florian &rft.creator=Minvielle, Ludovic &rft.creator=Fondanèche, Antoine &rft.creator=Polce, Jane &rft.creator=Wood, Christopher &rft.creator=Miller, Karol &rft.date=2026&rft.relation=http://research-repository.uwa.edu.au/en/publications/014a2a54-e0bd-4943-829f-ca324aaf9564&rft.type=dataset&rft.language=English Access the data

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This Zenodo dataset provides a comprehensive collection of patient-specific imaging, geometric, and biomechanical data for the analysis of abdominal aortic aneurysms (AAA), supporting the study “Towards Personalised Assessment of Abdominal Aortic Aneurysm Structural Integrity” published in the International Journal for Numerical Methods in Biomedical Engineering. The dataset consists of electrocardiogram (ECG)-gated, time-resolved three-dimensional computed tomography angiography (4D CTA) data acquired over a full cardiac cycle from 20 patients diagnosed with AAA. For each patient, up to ten 3D CTA image frames are included, representing different phases of the cardiac cycle, including systolic and diastolic configurations. For each case, the dataset further includes patient-specific AAA wall geometries and corresponding finite element (FE) models and meshes derived from the imaging data and used for biomechanical analysis. In addition, computational outputs are provided for each patient, including wall strain and wall tension maps, as well as structural integrity index (SII) and relative structural integrity index (RSII) maps of the AAA wall. Together, these data enable detailed investigation of AAA wall structural integrity. The imaging data were acquired at three clinical centres: Fiona Stanley Hospital (Australia), Medical University of Innsbruck (Austria), and University Hospitals Leuven (Belgium). All data were processed at the Intelligent Systems for Medicine Laboratory, The University of Western Australia (ISML-UWA). AAA geometries were reconstructed using a workflow integrating AI-assisted segmentation and automated surface model generation. All files are provided in widely used, open-source formats, including NRRD for image data, VTP for geometries and computational results, and Abaqus input files for finite element models and meshes. This dataset can be reused for benchmarking and validation of AAA biomechanical analysis pipelines, including image-based strain computation, stress analysis, and structural integrity assessment. By providing both imaging data and derived biomechanical outputs, it also supports further investigation of AAA wall structural integrity in relation to disease severity and progression.

Notes

External Organisations
Aquafin, Belgium; FHchol Austria; Limagrain (France); FH Australia Perth Western Australia Australia
Associated Persons
Saeideh Sekhavat (Creator); Jens Carsten Ritter (Creator); Christopher Wood (Creator)Hozan Mufty (Creator); Geert Maleux (Creator); Inge Fourneau (Creator); Elke R. Gizewski (Creator); Eva Gassner (Creator); Alexander Loizides (Creator); Maximilian Lutz (Creator); Florian K. Enzmann (Creator); Florian Bernard (Creator); Ludovic Minvielle (Creator); Antoine Fondanèche (Creator); Jane Polce (Creator)

Issued: 2026-03-23

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Identifiers
ACN 633 798 857