利用微波成像检测肩部损伤的数值模型

IF 3 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology Pub Date : 2024-06-19 DOI:10.1109/JERM.2024.3411799
Sahar Borzooei;Pierre-Henri Tournier;Victorita Dolean;Christian Pichot;Nadine Joachimowicz;Helene Roussel;Claire Migliaccio
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引用次数: 0

摘要

肩袖撕裂(RCT)是最常见的肩部损伤之一,如果发展到严重程度,将无法挽回。有必要使用便携式成像系统对肩袖撕裂进行现场检测,以确定其程度并进行早期诊断。我们采用最先进的数值建模和并行计算技术,介绍了一种用于检测 RCT 的微波断层成像系统。结果表明,所提出的方法能够准确检测和定位不同大小的损伤。下一步,我们提出了一种计算时间和复杂度方面的高效设计,以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,并使用域分解法中的并行预处理器来加速计算。该方法使用开源 FreeFEM 软件实现。
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Numerical Modeling for Shoulder Injury Detection Using Microwave Imaging
Rotator cuff tear (RCT) is one of the most common shoulder injuries, which can be irreparable if it develops to a severe condition. A portable imaging system for the on-site detection of RCT is necessary to identify its extent for early diagnosis. We introduce a microwave tomography system, using state-of-the-art numerical modeling and parallel computing for detection of RCT. The results show that the proposed method is capable of accurately detecting and localizing this injury in 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.
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CiteScore
5.80
自引率
9.40%
发文量
58
期刊最新文献
Front Cover Table of Contents IEEE Journal of Electromagnetics, RF, and Microwaves in Medicine and Biology About this Journal IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology Publication Information Models of Melanoma Growth for Assessment of Microwave-Based Diagnostic Tools
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