Conference Papers Year : 2023

Microwave tomographic imaging of shoulder injury

Abstract

One of the most challenging shoulder injuries is rotator cuff tear that increases with aging and particularly happens among athletes. These tears cause pain and highly affect the functionality of the shoulder. The motivation of this work is detecting these tears by microwave tomographic imaging. This imaging method requires the solution of an inverse problem based on a minimization algorithm, with successive solutions of a direct problem. We make use of parallel computation from the domain decomposition method and domain-specific language with the opensource FreeFEM solver. Results demonstrate the possibility to detect tendon tear in a simplified shoulder model.
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Dates and versions

hal-04056885 , version 1 (03-04-2023)

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  • HAL Id : hal-04056885 , version 1

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Sahar Borzooei, Pierre-Henri Tournier, Claire Migliaccio, Victorita Dolean, Christian Pichot. Microwave tomographic imaging of shoulder injury. Conférence EUCAP 2023 - 17th European Conference on Antennas and Propagation, Mar 2023, Florence, Italy. pp.5. ⟨hal-04056885⟩
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