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Development of an automated patient identification method based on an image-matching technique of chest radiographs in PACS environment

机译:基于PACS环境下胸部X光片图像匹配技术的患者自动识别方法的开发

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摘要

For maintaining its reliability of the PACS, wrong patient's images should not be stored in the improper patients' folders. Our aim is to develop an automated warning system based on an image-matching technique for comparison with previous chest radiographs, in correcting wrong chest radiographs being stored in the PACS. For identification of a wrong patient, the correlation value is determined for a previous image of a patient and a new current image of the presumed corresponding patient. Our preliminary results indicated that more than 50 % of wrong images can be identified correctly with our method. We believe that this automated warning system for patient identification would be useful in correcting wrong images being stored in the PACS environment, and can avoid reading of wrong patient's images during interpretation.
机译:为了保持PACS的可靠性,不应将错误的患者图像存储在不合适的患者文件夹中。我们的目标是开发一种基于图像匹配技术的自动预警系统,以与以前的胸部X光片进行比较,以纠正存储在PACS中的错误胸部X光片。为了识别错误的患者,针对患者的先前图像和假定的相应患者的新的当前图像确定相关值。我们的初步结果表明,使用我们的方法可以正确识别出50%以上的错误图像。我们相信,这种用于患者识别的自动警告系统将有助于纠正存储在PACS环境中的错误图像,并且可以避免在解释过程中读取错误的患者图像。

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