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迈向组织的精确微波表征:使用离体大鼠乳腺和皮肤组织对开口同轴探头的传感深度分析

Towards Accurate Microwave Characterization of Tissues: Sensing Depth Analysis of Open-Ended Coaxial Probes with Ex Vivo Rat Breast and Skin Tissues.

作者信息

Aydinalp Cemanur, Joof Sulayman, Yilmaz Tuba

机构信息

Department of Electronics and Communication Engineering, Istanbul Technical University, 34469 Istanbul, Turkey.

出版信息

Diagnostics (Basel). 2021 Feb 18;11(2):338. doi: 10.3390/diagnostics11020338.

Abstract

Dielectric properties of biological materials are commonly characterized with open-ended coaxial probes due to the broadband and non-destructive measurement capabilities. Recently, potential diagnostics applications of the technique have been investigated. Although the technique can successfully classify the tissues with different dielectric properties, the classification accuracy can be improved for tissues with similar dielectric properties. Increase in classification accuracy can be achieved by addressing the error sources. One well-known error source contributing to low measurement accuracy is tissue heterogeneity. To mitigate this error source, there is a need define the probe sensing depth. Such knowledge can enable application-specific probe selection or design. The sensing depth can also be used as an input to the classification algorithms which can potentially improve the tissue classification accuracy. Towards this goal, this work investigates the sensing depth of a commercially available 2.2 mm aperture diameter probe with double-layered configurations using ex vivo rat breast and skin tissues. It was concluded that the dielectric property contrast between the heterogeneous tissue components has an effect on the sensing depth. Also, a membrane layer (between 0.4-0.8 mm thickness) on the rat wet skin tissue and breast tissue will potentially affect the dielectric property measurement results by 52% to 84%.

摘要

由于具有宽带和无损测量能力,生物材料的介电特性通常用开口同轴探头来表征。最近,人们对该技术潜在的诊断应用进行了研究。尽管该技术能够成功地对具有不同介电特性的组织进行分类,但对于具有相似介电特性的组织,分类精度仍可提高。通过解决误差源可以提高分类精度。导致测量精度低的一个众所周知的误差源是组织异质性。为了减轻这个误差源,需要定义探头的传感深度。这样的知识可以实现针对特定应用的探头选择或设计。传感深度也可以用作分类算法的输入,这有可能提高组织分类精度。为了实现这一目标,本研究使用离体大鼠乳腺和皮肤组织,研究了一种市售的孔径为2.2 mm的双层配置探头的传感深度。研究得出结论,异质组织成分之间的介电特性差异对传感深度有影响。此外,大鼠湿皮肤组织和乳腺组织上的膜层(厚度在0.4 - 0.8 mm之间)可能会使介电特性测量结果产生52%至84%的变化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb0c/7923112/ef3d0962f1e3/diagnostics-11-00338-g001.jpg

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