Microwave Reflection-based Bladder State Discrimination with Realistic Pelvic Models: Impact of Urine Conductivity and Volume

Alex Raterink, Ali Farshkaran, E. Porter
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引用次数: 2

Abstract

Microwave imaging could provide a low-cost, easy, and non-invasive method of detecting the state of the human bladder. However, current work on bladder detection uses relatively simple models. This paper presents a complex surface model of the human torso, based on the AustinMan model, to be used in broadband simulations. Model preparation is discussed, including the selection of dielectric properties of the tissues, bladder shape construction, and necessary simplifications to facilitate simulation of the model. Simulation results suggest that differences in the dielectric properties and volume of the urine are detectable through changes in the S11 parameter of the antenna.
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基于微波反射的膀胱状态识别与真实骨盆模型:尿电导率和尿量的影响
微波成像可以提供一种低成本、简单、无创的检测人类膀胱状态的方法。然而,目前的膀胱检测工作使用相对简单的模型。基于AustinMan模型,提出了一种用于宽带仿真的人体躯干复杂曲面模型。讨论了模型的制备,包括组织介电特性的选择,膀胱形状的构造,以及必要的简化以方便模型的模拟。仿真结果表明,通过天线S11参数的变化可以检测到尿液介电特性和体积的差异。
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