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一种用于热疗应用的增强型电阻抗成像算法。

An enhanced electrical impedance imaging algorithm for hyperthermia applications.

作者信息

Paulsen K D, Jiang H

机构信息

Thayer School of Engineering, Dartmouth College, Hanover, N. H. 03755, USA.

出版信息

Int J Hyperthermia. 1997 Sep-Oct;13(5):459-80. doi: 10.3109/02656739709023546.

Abstract

Electrical impedance imaging is a technique which is under investigation as a noninvasive method of tracking subsurface temperature distributions and/or associated cellular response during hyperthermia. In previous work, a finite element image reconstruction algorithm for converting surface potential distributions recorded at discrete electrode positions into spatial maps of conductivity values was developed. This paper reports on a series of significant improvements in the basic image reconstruction approach. Specifically, the ability to recover both the resistive and capacitive components of tissue electrical impedance have been incorporated. In addition, the image enhancement schemes of (1) total variation minimization, (2) dual meshing, and (3) spatial low-pass filtering, have been added. Through a series of simulation studies involving both phantom-like and clinically-relevant geometries having discrete regions and continuously-varying electrical property profiles, a significantly improved ability to recover spatial images of electrical properties in the impedance imaging context is demonstrated. The results show that the new algorithm is much more tolerant of measurement noise with levels up to 1% causing relatively modest degradations in image quality (compared to 0.1% which was needed previously in order to produce high quality images). The recovered electrical properties, themselves, both resistive and capacitive, are also found to be quantitative in value with errors in the 10-20% range occurring in the majority of cases, although deviations can reach 40% or more when noise levels as high as 10% are used. Temperature estimation simulations show that maximum temperature errors are significantly reduced (to approximately 2 degrees C relative to more than 10 degrees C in previous thermal simulations) with the new algorithm; however, temperature accuracies of better than 0.5 degree C on average are still found to be difficult to achieve with electrical impedance imaging even when the enhanced image reconstruction approach is used.

摘要

电阻抗成像技术是一种正在研究中的技术,作为一种非侵入性方法,用于跟踪热疗过程中的皮下温度分布和/或相关的细胞反应。在之前的工作中,开发了一种有限元图像重建算法,用于将在离散电极位置记录的表面电位分布转换为电导率值的空间图。本文报道了在基本图像重建方法上的一系列重大改进。具体而言,已纳入了恢复组织电阻抗的电阻和电容分量的能力。此外,还增加了(1)总变差最小化、(2)双重网格划分和(3)空间低通滤波的图像增强方案。通过一系列模拟研究,涉及具有离散区域和连续变化电特性分布的类似体模和临床相关几何形状,证明了在电阻抗成像背景下恢复电特性空间图像的能力有了显著提高。结果表明,新算法对高达1%的测量噪声具有更强的容忍度,与之前为了生成高质量图像所需的0.1%相比,图像质量的下降相对较小。所恢复的电阻和电容电特性本身在数值上也是定量的,在大多数情况下误差在10%-20%范围内,尽管当使用高达10%的噪声水平时偏差可能达到40%或更高。温度估计模拟表明,新算法显著降低了最大温度误差(相对于之前热模拟中超过10摄氏度,降至约2摄氏度);然而,即使使用增强的图像重建方法,电阻抗成像平均仍难以实现优于±0.5摄氏度的温度精度。

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