Data from : In vivo mechanical characterisation of an arterial wall using an inverse analysis procedure: application on an animal model of intracranial aneurysm
Cite this dataset
Raviol, Jolan et al. (2024). Data from : In vivo mechanical characterisation of an arterial wall using an inverse analysis procedure: application on an animal model of intracranial aneurysm [Dataset]. Dryad. https://doi.org/10.5061/dryad.tqjq2bw5q
Abstract
Intracranial aneurysm is a pathology related to the deterioration of the arterial wall. This work is an essential part of a large-scale project aimed at providing clinicians with a non-invasive patient-specific decision support tool to facilitate the rupture risk assessment. It will be based on the link between the aneurysm shape clinically observed and a database derived from the in vivo mechanical characterisation of aneurysms. To supply this database, a deformation device prototype of the arterial wall was developed. Its use coupled with medical imaging (Spectral Photon Counting Computed Tomography providing a spatial resolution down to 250 um) is used to determine the in vivo mechanical properties of the wall based on the inverse analysis of the quantification of the wall deformation observed experimentally. This study presents the in vivo application of this original procedure on an animal model of aneurysm. The mechanical properties of the aneurysm wall identified were congruent with the literature and the errors between the numerical and experimental results were less than 10 %. Based on these parameters, this study allows the assessment of the aneurysm stress state for a known solicitation and points towards the definition of a rupture criterion.
README: Data from: In vivo mechanical characterisation of an arterial wall using an inverse analysis procedure: application on an animal model of intracranial aneurysm
https://doi.org/10.5061/dryad.tqjq2bw5q
The dataset contains the results associated with the inverse analysis leading to the in vivo mechanical characterisation of the aneurysm wall.
Description of the data and file structure
The data include the .txt files resulting from the numerical modelling and the Matlab code of the multiple linear regression.
All the datasets are presented for 1 study subject.
Funding
Région Auvergne Rhône Alpes, Award: DESRI 19 i13966 L83 - 95414, PAR Mecanev 2019