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磁感应断层成像:点扩散函数评估及分辨率与图像失真分析

Magnetic induction tomography: evaluation of the point spread function and analysis of resolution and image distortion.

作者信息

Merwa Robert, Scharfetter Hermann

机构信息

Institute for Medical Engineering, Graz University of Technology, Krenngasse 37, 8010 Graz, Austria.

出版信息

Physiol Meas. 2007 Jul;28(7):S313-24. doi: 10.1088/0967-3334/28/7/S24. Epub 2007 Jun 26.

Abstract

Magnetic induction tomography (MIT) is a low-resolution imaging modality used for reconstructing the changes of the passive electrical properties in a target object. For an imaging system, it is very important to give forecasts about the image quality. Both the maximum resolution and the correctness of the location of the inhomogeneities are of major interest. Furthermore, the smallest object which can be detected for a certain noise level is a criterion for the diagnostic value of an image. The properties of an MIT image are dependent on the position inside the object, the conductivity distribution and of course on the location and the number of excitation coils and receiving coils. Quantitative statements cannot be made in general but it is feasible to predict the image quality for a selected problem. For electrical impedance tomography (EIT), the theoretical limits of image quality have been studied carefully and a comprehensive analysis for MIT is necessary. Thus, a simplified analysis on resolution, dimensions and location of an inhomogeneity was carried out by means of an evaluation of the point spread function (PSF). In analogy to EIT the PSF depends strongly on the location, showing the broadest distribution in the centre of the object. Increasing the amount of regularization according to increasing measurement noise, the PSF broadens and its centre is shifted towards the borders of the object. The resolution is indirectly proportional to the width of the PSF and increases when moving from the centre towards the border of the object and decreases with increasing noise.

摘要

磁感应断层成像(MIT)是一种低分辨率成像模态,用于重建目标物体中无源电学特性的变化。对于成像系统而言,对图像质量进行预测非常重要。不均匀性的最大分辨率和位置的正确性都是主要关注点。此外,对于特定噪声水平能够检测到的最小物体是图像诊断价值的一个标准。MIT图像的特性取决于物体内部的位置、电导率分布,当然还取决于激励线圈和接收线圈的位置及数量。一般而言无法进行定量表述,但针对选定问题预测图像质量是可行的。对于电阻抗断层成像(EIT),已经仔细研究了图像质量的理论极限,因此有必要对MIT进行全面分析。于是,通过评估点扩散函数(PSF),对不均匀性的分辨率、尺寸和位置进行了简化分析。与EIT类似,PSF强烈依赖于位置,在物体中心显示出最宽的分布。随着测量噪声的增加而增加正则化量时,PSF会变宽,其中心会向物体边界移动。分辨率与PSF的宽度成反比,从物体中心向边界移动时分辨率增加,并且随着噪声增加而降低。

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