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.

翻译：便携式现场检测肩部损伤的成像系统对于确定损伤程度、防止其发展为严重病变至关重要。本文首先介绍了一种采用先进数值建模与并行计算技术的微波断层成像系统，用于肩部不同组织的成像。结果表明，所提方法能够准确检测并定位不同尺寸的肩袖撕裂伤。随后，提出了一种在计算时间与复杂度方面均高效的方案，用于检测损伤模型相对于健康模型的变化。该方法基于有限元离散化，并采用域分解法中的并行预处理器加速计算，通过开源软件FreeFEM实现。