Raw data of 'Comparative biomechanical and structural evaluation of region-specific stented and non-stented ex vivo perfused human thoracic aortas'

This dataset contains high-resolution computed tomography (CT) images of a human thoracic aorta following ex vivo stent graft deployment. The scans were acquired using a clinical CT scanner (SOMATOM X.ceed, Siemens Healthineers) at the Medical University of Graz, Austria. The use of donor specimens was approved by the Ethics Committee of the Medical University of Graz (approval number 32-451 ex19/20).

The purpose of this dataset is to provide detailed anatomical and geometrical information that can support advanced biomechanical investigations, image-based reconstruction, and patient-specific computational modeling of thoracic endovascular aortic repair (TEVAR).

Such data can be used to develop and validate numerical simulations of the TEVAR with aorta, assess post-deployment geometry, and improve the accuracy of structural and hemodynamic models. The reconstruction was performed using a soft tissue optimized convolution kernel, resulting in a high level of anatomical detail suitable for further segmentation, mesh generation, and model calibration.

The CT scans are part of a broader research effort investigating the biomechanical and structural consequences of TEVAR using ex vivo perfused human thoracic aortas. Further information on the study design, tissue testing, and modeling approaches can be found in the related publication: https://doi.org/10.1016/j.actbio.2025.10.020.

 The following files are included:1) Raw imaging data (CT_StentedAorta_RepresemtativeSample.zip)2) Description of the single scans contained in the raw imaging file (CT_StentedAorta_RepresemtativeSample_DescriptionTable.pdf)3) ReadMe file featuring general information about the scanning session, incl. acquisition parameters, device specifications, and contact information (ReadMe.txt)