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2D Image Construction from Low Resolution Response of a New Non-invasive Measurement for Medical Application

机译:一种新的非侵入性医学应用低分辨率响应的二维图像构建

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This paper presents an application of digital signal processing to data acquired by the radio imaging method (RIM) that was adopted to measure moisture distribution inside the human body. RIM was originally developed for the mining industry; we are applying the method to a biomedical measurement because of its simplicity, economy, and safety. When a two-dimensional image was constructed from the measured data, the method provided insufficient resolution because the wavelength of the measurement medium, a weak electromagnetic wave in a VHF band, was longer than human tissues. We built and measured a phantom, a model simulating the human body, consisting of two water tanks representing large internal organs. A digital equalizer was applied to the measured values as a weight function, and images were reconstructed that corresponded to the original shape of the two water tanks. As a result, a two-dimensional image containing two individual peaks corresponding to the original two small water tanks was constructed. The result suggests the method was applicable to biomedical measurement by the assistance of digital signal processing. This technique may be applicable to home-based medical care and other situations in which safety, simplicity, and economy are important.
机译:本文介绍了数字信号处理在通过无线电成像方法(RIM)获取的数据中的应用,该方法用于测量人体内部的水分分布。 RIM最初是为采矿业开发的。由于该方法的简单性,经济性和安全性,我们将其应用于生物医学测量。当从测量数据构建二维图像时,该方法提供的分辨率不足,因为测量介质的波长(VHF波段中的弱电磁波)比人体组织长。我们构建并测量了一个幻影模型,该模型是模拟人体的模型,由两个代表大型内部器官的水箱组成。将数字均衡器作为权重函数应用于测量值,并重建与两个水箱的原始形状相对应的图像。结果,构造了包含对应于原始的两个小水箱的两个单独的峰的二维图像。结果表明该方法可通过数字信号处理应用于生物医学测量。此技术可能适用于基于家庭的医疗服务以及其他安全性,简便性和经济性很重要的情况。

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