设计,倒置大桶光聚合3D打印,以及用于局部体内组织测量的微型力传感器的初始表征。

IF 3.2 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Shashank S Kumat, Panos S Shiakolas
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引用次数: 2

摘要

背景:通过局部接触反力测量来评估组织的粘弹性,从而获得定量的时间历史信息,可以评估组织的健康状况。为了评估人体难以到达和受限区域的这些特性,需要具有尺寸限制和适当负载能力的微型力传感器。本文报道了一种人体前臂单轴微型力传感器的设计、制造、集成、表征和体内实验。方法:设计基于应变片的传感器组件,满足尺寸约束(直径≤3.5mm)、安全系数(≥3)和性能指标(最大外加载荷、分辨率、灵敏度和精度)。传感元件的制作采用传统的加工方法。采用倒釜光聚合技术在Form3打印机上对复杂部件进行了原型化;通过实验克服了微元件定向制造的难题。利用自重和基于LabVIEW的定制开发的数据采集系统对传感器性能进行了表征。通过在人体前臂上进行体内测量来评估操作性能;利用松弛数据计算Voigt模型粘弹性系数。结果:3D打印的零件尺寸精度良好,最大误差为183μm。装配后的传感器表现为线性行为(回归系数R2=0.999),满足3.4安全系数、1.2N承载能力、18mN分辨率和3.13%精度的期望性能指标。体内实验得到的松弛数据采用Voigt模型进行分析,得到粘弹性系数τ=12.38sec,曲线拟合回归系数R2=0.992。结论:该研究展示了一种微型力传感器的成功设计,使用3D打印进行组件制造,集成,表征和分析初始体内收集的测量结果,具有优异的性能,可用于评估组织粘弹性特性。通过这项研究,我们发现了一些局限性,但传感器的初始性能是有希望的,并鼓励继续改进传感器的工作。该微力传感器可用于获取组织定量数据,以评估长期医疗保健的组织健康状况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Design, inverted vat photopolymerization 3D printing, and initial characterization of a miniature force sensor for localized in vivo tissue measurements.

Design, inverted vat photopolymerization 3D printing, and initial characterization of a miniature force sensor for localized in vivo tissue measurements.

Design, inverted vat photopolymerization 3D printing, and initial characterization of a miniature force sensor for localized in vivo tissue measurements.

Design, inverted vat photopolymerization 3D printing, and initial characterization of a miniature force sensor for localized in vivo tissue measurements.

Background: Tissue healthiness could be assessed by evaluating its viscoelastic properties through localized contact reaction force measurements to obtain quantitative time history information. To evaluate these properties for hard to reach and confined areas of the human body, miniature force sensors with size constraints and appropriate load capabilities are needed. This research article reports on the design, fabrication, integration, characterization, and in vivo experimentation of a uniaxial miniature force sensor on a human forearm.

Methods: The strain gauge based sensor components were designed to meet dimensional constraints (diameter ≤3.5mm), safety factor (≥3) and performance specifications (maximum applied load, resolution, sensitivity, and accuracy). The sensing element was fabricated using traditional machining. Inverted vat photopolymerization technology was used to prototype complex components on a Form3 printer; micro-component orientation for fabrication challenges were overcome through experimentation. The sensor performance was characterized using dead weights and a LabVIEW based custom developed data acquisition system. The operational performance was evaluated by in vivo measurements on a human forearm; the relaxation data were used to calculate the Voigt model viscoelastic coefficient.

Results: The three dimensional (3D) printed components exhibited good dimensional accuracy (maximum deviation of 183μm). The assembled sensor exhibited linear behavior (regression coefficient of R2=0.999) and met desired performance specifications of 3.4 safety factor, 1.2N load capacity, 18mN resolution, and 3.13% accuracy. The in vivo experimentally obtained relaxation data were analyzed using the Voigt model yielding a viscoelastic coefficient τ=12.38sec and a curve-fit regression coefficient of R2=0.992.

Conclusions: This research presented the successful design, use of 3D printing for component fabrication, integration, characterization, and analysis of initial in vivo collected measurements with excellent performance for a miniature force sensor for the assessment of tissue viscoelastic properties. Through this research certain limitations were identified, however the initial sensor performance was promising and encouraging to continue the work to improve the sensor. This micro-force sensor could be used to obtain tissue quantitative data to assess tissue healthiness for medical care over extended time periods.

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