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Data processing techniques for serial EIT spectroscopy images: a review of some preliminary results

机译:EIT光谱图像序列数据处理技术:初步结果综述

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Multifrequency EIT imaging should allow specific organs within the body to be identified by their impedance spectrum, and the use of parametric imaging should lead to a much greater freedom from movement artefacts. This will make EIT more attractive as a monitoring technique, but the data rate will require automated processing of the images. The application of dynamic regions of interest, generated on a frame by frame basis, is described, with examples from the imaging of neonatal lungs and adult stomach. The lung can be objectively identified on a single frame from the fRSC, SC and RC images, but the stomach could only be identified on the dynamic images.
机译:多频EIT成像应允许通过阻抗谱识别体内的特定器官,并且使用参数成像应可以大大避免运动伪影。这将使EIT作为一种监测技术更具吸引力,但数据速率将需要对图像进行自动处理。描述了逐帧生成的动态感兴趣区域的应用,并附有新生儿肺和成人胃成像的示例。从 fRSC、SC 和 RC 图像中可以客观地在一帧上识别肺,但只能在动态图像上识别胃。

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