What is DICOM, PACS, and Workstation?

What is DICOM?

We will take them one at a time – So first of all, what is DICOM? DICOM (Digital Imaging and Communications in Medicine) is an international standard protocol for all medical data exchanges. It also defines the file format, which is mostly either a DCM or DCM30 (DCM3.0) file extension. DICOM has been implemented in almost every medical imaging modality like MRI, CT, X-ray, Ultrasound, Camera etc. Hereby, DICOM ensures that all the medical equipment installed in clinics, medical imaging centers, and hospitals will work together and distribute the medical images correctly.

What is PACS?

PACS (Picture Archiving and Communication System) is normally composed of four basic elements:

1) Medical imaging equipment like MRI, CT, X-ray, Ultrasound, etc.

2) A secure network for exchange and distribution of patient examination data.

3) DICOM workstations or mobile devices for viewing, re-processing, interpreting images.

4) Archives and printers for storage and retrieval of images and related documentation and reports.

PACS is a kind of the integration of all above resources in a healthcare organization to capture, store, view, and share the medical images internally or externally. And this makes it possible for remote diagnostic and interpretation of the images.

What is a Workstation

A workstation works as an option for most medical imaging equipment, and it functions as follows:

1) It is independent from the main modality console hereby allowing the patients to keep flowing in for examinations.

2) Re-processing of the DICOM RAW DATA acquired from different modalities, by accessing the advanced processing functions or options.

3) Allow remote diagnostic and intensive interpretation of acquired images.

The modalities where workstations are often used are CT and mammography scanners. There might be more than one workstations for any modalities with large volumes of patients, such as CT.

Each OEM uses one or several types of workstations according to the modality.  For instance: GE uses ADW, Philips uses Brilliance or Eleva, Siemens uses Leonardo or Terracon, and Toshiba uses Vitrea. Mammography requires a dedicated workstation with two pcs 5MP monitors for accurate diagnosis.

Images from all modalities are available on the DICOM server, and from here they can be printed or evaluated in Diagnostic viewer/workstation. They can also be sent through the internet to storage, or diagnostic viewers at other facilities, and they can be seen online.

PACS&DICOM的更多相关文章

  1. 大型三甲医院管理系统源码PACS超声科室源码DICOM影像工作站

    详情点击查看 开发环境 :VS2008 + C# + SQL2000 功能简介 1.患者登记工作站 集中登记患者基本信息和检查信息,包括就诊方式.患者来源.检查类型.检查部位.申请科室.申请医生等.可 ...

  2. DICOM医学图像处理:WEB PACS初谈四,PHP DICOM Class

    背景: 预告了好久的几篇专栏博文一直没有整理好,主要原因是早前希望搭建的WML服务器计划遇到了问题.起初以为参照DCMTK的官方文档wwwapp.txt结合前两天搭建的WAMP服务器可以顺利的实现WM ...

  3. DICOM医学图像处理:WEB PACS初谈

    背景: 周末看到了一篇原公司同事的文章,讲的是关于新的互联网形势下的PACS系统.正好上一篇专栏文章也提到了有想搭建一个worklist服务器的冲动,所以就翻箱倒柜将原本学生时代做课题时搭建的简易We ...

  4. [转]DICOM医学图像处理:Deconstructed PACS之Orthanc

    转载:http://blog.csdn.net/zssureqh/article/details/41424027 背景: 此篇博文介绍一个开源的.基于WEB的DICOM Server软件.该开源软件 ...

  5. DICOM医学图像处理:WEB PACS初谈二,图像的传输

    背景: 如前一篇专栏博文所述,借助于CGI或FastCGI技术转发浏览器发送过来的用户请求,启动本地的DCMTK和CxImage库响应.然后将处理结果转换成常规图像返回到浏览器来实现Web PACS. ...

  6. DICOM医学图像处理:Deconstructed PACS之Orthanc,Modification & Anonymization

    背景: 上篇博文为引子,介绍了一款神奇的开源PACS系统——Orthanc.本篇开始解读官方Cookbook中的相关内容,对于简单的浏览.访问和上传请阅读前篇博文.在常规的PACS系统中还未出现对于D ...

  7. DICOM医学图像处理:Deconstructed PACS之Orthanc

    背景: 此篇博文介绍一个开源的.基于WEB的DICOM Server软件.该开源软件完全使用C++编写,不依赖于第三方数据库(内置了SQLite数据库)或其他框架,支持RESTful API设计模式. ...

  8. C#开发PACS医学影像处理系统(六):加载Dicom影像

    对于一款软件的扩展性和维护性来说,上层业务逻辑和UI表现一定要自己开发才有控制权,否则项目上线之后容易被掣肘, 而底层图像处理,我们不需要重复造轮子,这里推荐使用fo-dicom,同样基于Dicom3 ...

  9. C#开发PACS医学影像处理系统(十四):处理Dicom影像窗宽窗位

    概念解释(网络资料): 窗宽: 窗宽指CT图像所显示的CT 值范围.在此CT值范围内的组织结构按其密度高低从白到黑分为16 个灰阶以供观察对比.例如,窗宽选定为100 Hu ,则人眼可分辨的CT值为1 ...

随机推荐

  1. ReLU——Deep Sparse Rectifier Neural Networks

    1. 摘要 ReLU 相比 Tanh 能产生相同或者更好的性能,而且能产生真零的稀疏表示,非常适合自然就稀疏的数据. 采用 ReLU 后,在大量的有标签数据下,有没有无监督预训练模型取得的最好效果是一 ...

  2. linq与lambda 常用查询语句写法对比

    LINQ的书写格式如下: from 临时变量 in 集合对象或数据库对象 where 条件表达式 [order by条件] select 临时变量中被查询的值 [group by 条件] Lambda ...

  3. C++指定位数小数输出

    关键词:头文件<iomanip>,指令setw(x),fixed,setprecision(x). setw()这个指令也可以配合setfill('')用于对齐输出,详情见另一篇博客htt ...

  4. Python参数传递,既不是传值也不是传引用

    面试的时候,有没有被问到Python传参是传引用还是传值这种问题?有没有听到过Python传参既不是传值也不是传引用这种说法?一个小小的参数默认值也可能让代码出现难以查找的bug? 如果你也遇到过上面 ...

  5. 必应词典手机版(IOS版)与有道词典(IOS版)之问卷分析

    我们制定了一个调查问卷: 1.年龄分布: 2.地域分布: 3.是否用过必应词典? 对于必应词典还是没用过的人数更多. 4.是否用过有道词典? 有道词典的使用率更高一点. 5.对于必应的基本功能给几分? ...

  6. MathExam6378

    我的第一个程序 一.预估与实际 PSP2.1 Personal Software Process Stages 预估耗时(分钟) 实际耗时(分钟) Planning 计划 15 10 • Estima ...

  7. java实验2实验报告(20135232王玥)

    实验二 Java面向对象程序设计 一.实验内容 1. 初步掌握单元测试和TDD 2. 理解并掌握面向对象三要素:封装.继承.多态 3. 初步掌握UML建模 4. 熟悉S.O.L.I.D原则 5. 了解 ...

  8. Java第一次试验

    北京电子科技学院(BESTI) 实     验    报     告 课程:Java程序设计   班级:1352       姓名:朱国庆   学号:20135237 成绩:             ...

  9. 实验五Java网络编程及安全——20135337朱荟潼

    实验五 Java网络编程及安全 结对伙伴:20135317韩玉琪(负责服务器方)http://www.cnblogs.com/hyq20135317/p/4567241.html 实验内容 1.掌握S ...

  10. 2018-2019-20172321 《Java软件结构与数据结构》第八周学习总结

    2018-2019-20172321 <Java软件结构与数据结构>第八周学习总结 教材学习内容总结 第12章 优先队列与堆 一.概述 堆 堆的前提就是他首先是一个完全二叉树,其次就是满足 ...