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工作流技术在医学影像算法平台中的应用研究

Application of Workflow Technology to Medical Image Algorithm Platform

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【作者】 贾同赵大哲栗伟王旭

【Author】 JIA Tong1,2,ZHAO Da-zhe1,LI Wei1,WANG Xu2(1.The Software Center,Northeastern University,Shenyang 110004,China;2.School of Information Science & Engineering,Northeastern University,Shenyang 110004,China.)

【机构】 东北大学软件中心东北大学信息科学与工程学院 辽宁沈阳110004东北大学信息科学与工程学院辽宁沈阳110004

【摘要】 将工作流技术引入算法开发平台,采用组件与多层体系结构建立了一个算法流程,可以动态管理的集成化医学影像算法平台,并给出了一个算法列表组件实例来分析工作流技术在算法平台中的应用.通过该平台研发出的肺癌计算机辅助诊断原型系统,算法流程定义灵活,基于多名临床肺癌患者CT影像测试,对于肺结节检测敏感性较高,基本满足医生临床诊断需求.

【Abstract】 The conventional algorithm platform is just a function-oriented one whose algorithm flow is fixed without flexibility and unable to meet the current requirement for rapid development of medical image algorithm.Introducing the workflow technology,an integrated medical image algorithm platform was built using relevant modules and multi architecture to provide an algorithm flow available to dynamic management.A listing module of algorithm management is given as example to analyze how the workflow works in the platform and its advantages.Based on the algorithm platform,a computer-aided diagnosis(CAD) prototype system was developed for lung cancer of which the algorithm flow can be defined flexibly.The clinical testing for lots of lung cancer patients revealed that its high detection sensitivity of lung nodule can meet basically the requirement of clinical diagnosis.

【基金】 国家自然科学基金资助项目(60671050)
  • 【文献出处】 东北大学学报(自然科学版) ,Journal of Northeastern University(Natural Science) , 编辑部邮箱 ,2007年06期
  • 【分类号】TP391.41
  • 【被引频次】3
  • 【下载频次】127
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