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Simulation on 2D microwave imaging of finger joint with a Newton iterative method

机译:牛顿迭代法模拟手指关节的二维微波成像

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Osteoarthritis (OA) is one of the most common arthritic diseases that causes of disability. For most people arthritis pain and inflammation cannot be avoided as the body ages. Although x-ray radiography is the most widely accepted method for diagnosis of joint-related diseases, but its validity of detecting OA is limited due to its inability to resolve well between soft tissues of similar densities. In this paper, we present a simulation experiment on 2D microwave imaging of finger joint by using a Newton method-based finite element reconstruction algorithm. Simulation results show that a 2mm-thick finger joint can be quantitatively imaged based on its microwave property.
机译:骨关节炎(OA)是导致残疾的最常见的关节炎疾病之一。对于大多数人来说,随着年龄的增长,关节炎和疼痛是不可避免的。尽管X射线照相术是诊断关节相关疾病的最广泛接受的方法,但是由于其无法很好地分辨相似密度的软组织之间的分辨率,因此其检测OA的有效性受到限制。在本文中,我们使用基于牛顿法的有限元重构算法,对手指关节的二维微波成像进行了仿真实验。仿真结果表明,基于其微波特性,可以对2mm厚的手指关节进行定量成像。

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