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一个集成了临床试验处理器(CTP)的基于网络的机构DICOM分发系统。

A web-based institutional DICOM distribution system with the integration of the Clinical Trial Processor (CTP).

作者信息

Aryanto K Y E, Broekema A, Langenhuysen R G A, Oudkerk M, van Ooijen P M A

机构信息

Department of Radiology, Center for Medical Imaging - North East Netherlands (CMINEN), University of Groningen, University Medical Center Groningen, Hanzeplein 1, Postbus 30001, 9700, RB, Groningen, The Netherlands,

出版信息

J Med Syst. 2015 May;39(5):45. doi: 10.1007/s10916-014-0186-y. Epub 2015 Mar 3.

DOI:10.1007/s10916-014-0186-y
PMID:25732073
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4346661/
Abstract

To develop and test a fast and easy rule-based web-environment with optional de-identification of imaging data to facilitate data distribution within a hospital environment. A web interface was built using Hypertext Preprocessor (PHP), an open source scripting language for web development, and Java with SQL Server to handle the database. The system allows for the selection of patient data and for de-identifying these when necessary. Using the services provided by the RSNA Clinical Trial Processor (CTP), the selected images were pushed to the appropriate services using a protocol based on the module created for the associated task. Five pipelines, each performing a different task, were set up in the server. In a 75 month period, more than 2,000,000 images are transferred and de-identified in a proper manner while 20,000,000 images are moved from one node to another without de-identification. While maintaining a high level of security and stability, the proposed system is easy to setup, it integrate well with our clinical and research practice and it provides a fast and accurate vendor-neutral process of transferring, de-identifying, and storing DICOM images. Its ability to run different de-identification processes in parallel pipelines is a major advantage in both clinical and research setting.

摘要

开发并测试一种基于规则的快速简便的网络环境,该环境可对影像数据进行可选的去标识化处理,以促进医院环境内的数据分发。使用超文本预处理器(PHP,一种用于网页开发的开源脚本语言)以及Java和SQL Server构建了一个网络界面来处理数据库。该系统允许选择患者数据,并在必要时对这些数据进行去标识化处理。利用RSNA临床试验处理器(CTP)提供的服务,使用基于为相关任务创建的模块的协议,将所选图像推送到适当的服务中。在服务器中设置了五个管道,每个管道执行不同的任务。在75个月的时间里,超过200万张图像被正确地传输并去标识化,同时2000万张图像在未进行去标识化的情况下从一个节点移动到另一个节点。在保持高度安全性和稳定性的同时,该系统易于设置,能很好地与我们的临床和研究实践相结合,并且提供了一个快速准确的、与供应商无关的传输、去标识化和存储DICOM图像的过程。其在并行管道中运行不同去标识化过程的能力在临床和研究环境中都是一个主要优势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3cac/4346661/905abe4a5552/10916_2014_186_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3cac/4346661/0c82721b085d/10916_2014_186_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3cac/4346661/e97c7ea16286/10916_2014_186_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3cac/4346661/642433c749b4/10916_2014_186_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3cac/4346661/973f8135c939/10916_2014_186_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3cac/4346661/97615314072f/10916_2014_186_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3cac/4346661/db08abd05a5c/10916_2014_186_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3cac/4346661/77cb05140945/10916_2014_186_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3cac/4346661/a937e0002590/10916_2014_186_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3cac/4346661/905abe4a5552/10916_2014_186_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3cac/4346661/0c82721b085d/10916_2014_186_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3cac/4346661/e97c7ea16286/10916_2014_186_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3cac/4346661/642433c749b4/10916_2014_186_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3cac/4346661/973f8135c939/10916_2014_186_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3cac/4346661/97615314072f/10916_2014_186_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3cac/4346661/db08abd05a5c/10916_2014_186_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3cac/4346661/77cb05140945/10916_2014_186_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3cac/4346661/a937e0002590/10916_2014_186_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3cac/4346661/905abe4a5552/10916_2014_186_Fig9_HTML.jpg

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