Journal of Northeastern University ›› 2007, Vol. 28 ›› Issue (6): 805-808.DOI: -

• OriginalPaper • Previous Articles     Next Articles

Application of workflow technology to medical image algorithm platform

Jia, Tong (1); Zhao, Da-Zhe (1); Li, Wei (1); Wang, Xu (2)   

  1. (1) Software Center, Northeastern University, Shenyang 110004, China; (2) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China
  • Received:2013-06-24 Revised:2013-06-24 Online:2007-06-15 Published:2013-06-24
  • Contact: Jia, T.
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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.

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