  A portable imaging system for the on-site detection of shoulder injury is
necessary to identify its extent and avoid its development to severe condition.
Here, firstly a microwave tomography system is introduced using
state-of-the-art numerical modeling and parallel computing for imaging
different tissues in the shoulder. The results show that the proposed method is
capable of accurately detecting and localizing rotator cuff tears of different
size. In the next step, an efficient design in terms of computing time and
complexity is proposed to detect the variations in the injured model with
respect to the healthy model. The method is based on finite element
discretization and uses parallel preconditioners from the domain decomposition
method to accelerate computations. It is implemented using the open source
FreeFEM software.
