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基于FPGA内部同时多频组织刺激和基于离散傅里叶变换(DFT)的阻抗计算的电阻抗断层成像膀胱容积监测

Bladder Volume Monitoring Using Electrical Impedance Tomography With Simultaneous Multi-Tone Tissue Stimulation and DFT-Based Impedance Calculation Inside an FPGA.

作者信息

Rosa Bruno M G, Yang Guang Z

出版信息

IEEE Trans Biomed Circuits Syst. 2020 Aug;14(4):775-786. doi: 10.1109/TBCAS.2020.3008831. Epub 2020 Jul 13.

DOI:10.1109/TBCAS.2020.3008831
PMID:32746355
Abstract

In this article, a novel method for measuring the volume of the urinary bladder non-invasively is presented that relies on the principles dictated by Electrical Impedance Tomography (EIT). The electronic prototype responsible for injecting innocuous electrical currents to the lower abdominal region and measuring the developed voltage levels is fully described, as well as the computational models for resolution of the so-called Forward and Inverse Problems in Imaging. The simultaneous multi-tone injection of current provided by a high performance Field Programmable Gate Array (FPGA), combined with impedance estimation by the Discrete Fourier Transform (DFT) constitutes a novelty in Urodynamics with potential to monitor continuously the intravesical volume of patients in a much faster and comfortable way than traditional transurethral catheterization methods. The resolution of the Inverse Problem is performed by the Gauss-Newton method with Laplacian regularization, allowing to obtain a sectional representation of the volume of urine encompassed by the bladder and surrounding body tissues. Experimentation has been carried out with synthetic phantoms and human subjects with results showing a good correlation between the levels of abdominal admittivity acquired by the EIT system and the volume of ingested water.

摘要

本文提出了一种基于电阻抗断层成像(EIT)原理的无创测量膀胱容积的新方法。文中详细描述了用于向腹部下部区域注入无害电流并测量所产生电压水平的电子原型,以及用于解决成像中所谓正向和逆问题的计算模型。由高性能现场可编程门阵列(FPGA)提供的同时多音电流注入,结合离散傅里叶变换(DFT)进行阻抗估计,这在尿动力学领域是一项创新,有潜力以比传统经尿道插管方法更快、更舒适的方式持续监测患者膀胱内的容积。逆问题通过带拉普拉斯正则化的高斯 - 牛顿法求解,从而获得膀胱及周围身体组织所包含尿液容积的截面表示。已使用合成体模和人体受试者进行了实验,结果表明EIT系统获取的腹部导纳水平与摄入水量之间具有良好的相关性。

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