Fourier diffraction theorem for diffusion-based thermal tomography

N. Baddour
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引用次数: 10

Abstract

There has been much recent interest in thermal imaging as a method of non-destructive testing and for non-invasive medical imaging. The basic idea of applying heat or cold to an area and observing the resulting temperature change with an infrared camera has led to the development of rapid and relatively inexpensive inspection systems. However, the main drawback to date has been that such an approach provides mainly qualitative results. In order to advance the quantitative results that are possible via thermal imaging, there is interest in applying techniques and algorithms from conventional tomography. Many tomography algorithms are based on the Fourier diffraction theorem, which is inapplicable to thermal imaging without suitable modification to account for the attenuative nature of thermal waves. In this paper, the Fourier diffraction theorem for thermal tomography is derived and discussed. The intent is for this thermal-diffusion based Fourier diffraction theorem to form the basis of tomographic reconstruction algorithms for quantitative thermal imaging.
基于扩散的热层析成像的傅里叶衍射定理
近年来,热成像作为一种无损检测和非侵入性医学成像的方法受到了广泛关注。对一个区域加热或冷却,并用红外摄像机观察由此产生的温度变化的基本思想导致了快速和相对便宜的检查系统的发展。然而,迄今为止的主要缺点是这种方法主要提供定性结果。为了提高通过热成像可能获得的定量结果,人们对应用传统断层成像的技术和算法很感兴趣。许多层析成像算法都是基于傅立叶衍射定理,如果不考虑热波的衰减特性而进行适当的修改,就不能应用于热成像。本文推导并讨论了热层析成像的傅里叶衍射定理。目的是使这种基于热扩散的傅立叶衍射定理成为定量热成像层析重建算法的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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