Jian Chen

Publications (2)1.69 Total impact

• Article: Retinal image registration based on salient feature regions.

  Jian Zheng, Jie Tian, Yakang Dai, Kexin Deng, Jian Chen
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  ABSTRACT: Retinal image registration is essential and crucial for ophthalmologists to diagnose various diseases. A great number of methods have been developed to solve this problem, however, fast and accurate retinal image registration is still a challenging problem since the great content complexity and low image quality of the unhealthy retina. This paper provides a new retinal image registration method based on salient feature regions (SFR). We first extract the SFR in each image based on a well defined region saliency metric. Next, SFR are matched by using an innovative local feature descriptor. Then we register those matched SFR using local rigid transformation. Finally, we register the two images adopting global second order polynomial transformation with locally rigid registered region centers as control points. Experimental results prove that our method is very fast and accurate, especially quite effective for the low quality retinal images registration.
  Conference proceedings: ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference 01/2009; 2009:102-5.
• Source

  Available from: Yakang Dai

  Article: A novel software platform for medical image processing and analyzing.

  Jie Tian, Jian Xue, Yakang Dai, Jian Chen, Jian Zheng
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  ABSTRACT: The design of software platform for medical imaging application has been increasingly prioritized as the sophisticated application of medical imaging. With this demand, we have designed and implemented a novel software platform in traditional object-oriented fashion with some common design patterns. This platform integrates the mainstream algorithms for medical image processing and analyzing within a consistent framework, including reconstruction, segmentation, registration, visualization, etc., and provides a powerful tool for both scientists and engineers. The overall framework and certain key technologies are introduced in detail. Presented experiment examples, numerous downloads, extensive uses, and practical applications commendably demonstrate the validity and flexibility of the platform.
  IEEE transactions on information technology in biomedicine: a publication of the IEEE Engineering in Medicine and Biology Society 12/2008; 12(6):800-12. · 1.69 Impact Factor