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Initial clinical evaluation of an automated patient recognition system based on a template-matching technique of radiographic images

机译:基于放射线图像模板匹配技术的自动患者识别系统初步临床评价

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摘要

For maintaining reliability of picture archiving and communication system (PACS), it is important that all of images are stored in correct locations such as in the proper patients' folders. However, if the patient information, such as the identification number or the patient name, has been entered incorrectly, it is difficult to find this error. In this case, the image will be assigned to a different patient's folder and may not be stored in the proper patient's folder. If radiologists interpret a wrong patient image for a given patient, this may create a serious problem. It is, therefore, desirable to discover wrong patient's images immediately after an acquired image is transferred to PACS server so that corrective action can be taken before the image is stored in the wrong patient folder. We are developing an automated patient recognition method based on a template-matching technique in which we determine the correlation value for a current chest radiograph with a previous one. We have installed an automated patient recognition system in a hospital to evaluate the potential usefulness of the method developed.
机译:为了维持图像归档和通信系统(PACS)的可靠性,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,如果输入的患者信息(例如识别号或患者姓名)已不正确进入,则很难找到此错误。在这种情况下,图像将被分配给不同的患者文件夹,并且可能不会存储在适当的患者的文件夹中。如果放射科医师为给定患者解释错误的患者形象,这可能会产生严重的问题。因此,希望在被获取的图像被传送到PACS服务器之后立即发现错误的患者的图像,以便在图像存储在错误的患者文件夹中之前可以拍摄校正动作。我们正在基于模板匹配技术开发一种自动患者识别方法,其中我们确定具有前一个胸部射线照片的相关值。我们已经在医院安装了自动患者识别系统,以评估所开发的方法的潜在有用性。

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