临床CT图像的计算机分析方法

Weiguo Bian, Shao-jie Tang, Huazi Xu
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引用次数: 0

摘要

本文介绍了一种利用x线CT图像判断腰椎旋转椎管狭窄的计算机分析新方法,该方法运用了图像分割、形态学、坐标变换、霍夫变换、图像灰度直方图均衡化等计算机图像分析和数字图像处理技术。对于腰椎旋转中每个区域的边界提取,我们提出了一种新的简洁的算法,对二值CT图像进行径向或极向采样。虽然在目前的研究中,采用计算机程序自动处理一些常规的手工工作还很初级,但我们认为这是临床辅助诊断的一个很好的方向。最后以处理真实CT图像为例,验证了该方法的可行性
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computer Analysis Method for Clinical CT Image
This paper describes a new computer analysis method for the judgment of vertebral canal stenosis of lumbar spin by X-ray CT images, where a large number of technologies on computer image analysis and digital image processing are utilized such as image segmentation, morphology, coordinates transform, Hough transform, histogram equalization of image gray level, etc. For the boundaries extraction of every defined region in lumbar spin, we propose a new and concise algorithm with radial or polar sampling on the binary CT images. Although adopting computer program to automatically process some routine manual works is still very primary at present research, we believe that it is an excellent orientation for the clinical aided diagnosis. An example of processing realistic CT images is used to validate the feasibility of the whole procedure
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