首页> 外文期刊>電子情報通信学会技術研究報告. 医用画像. Medical Imaging >Improvement of an automated patient recognition method for chest radiographs using edge-enhanced images by Sobel filter
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Improvement of an automated patient recognition method for chest radiographs using edge-enhanced images by Sobel filter

机译:通过Sobel滤波器使用边缘增强图像的胸部X线片自动患者识别方法的改进

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摘要

To utilize a large number of digital images in picture archiving and communication system (PACS) environment. it is important that all of images are stored in correct locations such as in the proper patients' folders. However, if patient information, such as the identification number or the patient name has been entered incorrectly, the image will be stored in the wrong patient's folder. We are developing an automated patient recognition method for chest radiographs based on a template-matching technique to prevent such filing errors. In this study, we employed edge-enhanced images by Sobel filter to improve the performance of the patient recognition based on a template-matching technique.
机译:利用图片归档和通信系统(PACS)环境中的大量数字图像。 重要的是,所有图像都存储在正确的位置,例如在适当的患者文件夹中。 但是,如果患者信息(例如识别号或患者姓名)已不正确输入,则图像将存储在错误的患者的文件夹中。 我们正在基于模板匹配技术开发一种自动患者识别方法,用于胸部射线照相,以防止这种归档误差。 在本研究中,我们通过Sobel滤波器使用边缘增强的图像,以改善基于模板匹配技术的患者识别的性能。

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