Conference Papers Year : 2023

High-Performance Numerical Modeling for Detection of Rotator Cuff Tear

Abstract

In this paper, microwave tomographic imaging for rotator cuff tear by numerical modeling and parallel computing is presented. It requires solving an inverse problem by making use of an iterative method based on a minimization algorithm. To this end, efficient parallel algorithms and high-performance computing is utilized that result in an accurate reconstruction of the electrical properties of the propagation medium as well as fast computations. Results demonstrate the possibility to detect different types of tendon tears in a shoulder model.
No file

Dates and versions

hal-04038201 , version 1 (20-03-2023)

Identifiers

Cite

Sahar Borzooei, Claire Migliaccio, Victorita Dolean, Pierre-Henri Tournier, Christian Pichot. High-Performance Numerical Modeling for Detection of Rotator Cuff Tear. IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI, Jul 2023, Portland, Oregon, United States. pp.1879-1880, ⟨10.1109/USNC-URSI52151.2023.10238302⟩. ⟨hal-04038201⟩
111 View
0 Download

Altmetric

Share

More