Ziye Yan

Beijing Institute Of Technology, Peping, Beijing, China

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Publications (9)2.54 Total impact

  • Ziye Yan · Jianwu Li · Yao Lu · Hongxia Yan · Yanfeng Zhao ·
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    ABSTRACT: The general framework of super resolution in computed tomography (CT) system is introduced. Two data acquisition ways before or after the reconstruction respectively are described. Three models including the sinogram model, the in-plane model and the z-axis model, are addressed to adapt super resolution to CT system. The improved iterative back projection algorithm is used in this work. Experimental results based on simulated data, GE performance phantom scanned by GE LightSpeed VCT system, one patient volunteer scanned by TOSHIBA Aquilion system, and a special experimental apparatus demonstrate that super resolution is effective to improve the resolution of CT images. The sinogram model is suitable for future CT system; the in-plane model is restricted to some special clinical diagnoses; and the z-axis model is practicable for current general clinical CT images. © 2015 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 25, 92–101, 2015
    International Journal of Imaging Systems and Technology 03/2015; 25(1):92-101. DOI:10.1002/ima.22125 · 1.30 Impact Factor
  • Ziye Yan · Yao Lu · Junhai Wen · Cuifen Li ·
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    ABSTRACT: In this paper, based on Novikov's explicit inversion formula for the attenuated Radon transform, we present a super resolution SPECT reconstruction algorithm with compensation for non-uniform attenuation. Unlike the former methods improving the medical image resolution via super resolution (SR) in the reconstructed image, the proposed method apply the SR algorithm in the low resolution (LR) sinogram, which needs only 1-D shift of the detector, and the PSF is easy to obtain. Simulation results show that our reconstruction algorithm is effective.
    Computers in Biology and Medicine 03/2012; 42(6):651-6. DOI:10.1016/j.compbiomed.2012.02.005 · 1.24 Impact Factor
  • Ziye Yan · Yao Lu · Jianwu Li ·

    Neural Information Processing - 18th International Conference, ICONIP 2011, Shanghai, China, November 13-17, 2011, Proceedings, Part III; 01/2011
  • Jianwu Li · Haizhou Wei · Ziye Yan ·
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    ABSTRACT: Error-correcting output codes (ECOC) is an effective method to perform multi-classification via decomposing a multi-classification problem into many binary classification tasks, and then integrating the outputs of the subtasks into a whole decision. The researches on applying ECOC to multi-classification mainly focus on how to improve the correcting ability of output codes and how to enhance the classification effectiveness of ECOC. This paper addresses a simple but interesting and significant case of ECOC, the shortest ECOC, to perform fast multi-classification at the cost of sacrificing a very small classification precision. The strategy of balancing the positive and negative examples for each binary classifier of ECOC and the method of finding the optimal permutation of all original classes are further given. Preliminary experimental results show, the shortest ECOC uses fewest binary classifiers but can still obtain comparable or close classification precisions with several traditional encoding methods of ECOC.
    Knowledge Science, Engineering and Management - 5th International Conference, KSEM 2011, Irvine, CA, USA, December 12-14, 2011. Proceedings; 01/2011
  • Yaozu An · Yao Lu · Ziye Yan ·
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    ABSTRACT: Due to the arbitrary motion patterns in practical video, annoying artifacts cased by the registration error often appears in the super resolution outcome. This paper proposes a spatial-temporal motion compensation based super resolution fusion method (STMC) for video after explicit motion estimation between a few neighboring frames. We first register the neighboring low resolution frames to proper positions in the high resolution frame, and then use the registered low resolution information as non-local redundancy to compensate the surrounding positions which have no or a few registered low resolution pixels. Experimental results indicate the proposed method can effectively reduce the artifacts cased by the motion estimation error with obvious performance improvement in both PSNR and visual effect.
    Computer Vision - ACCV 2010 - 10th Asian Conference on Computer Vision, Queenstown, New Zealand, November 8-12, 2010, Revised Selected Papers, Part II; 11/2010
  • Ziye Yan · Yao Lu · Hongxia Yan ·
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    ABSTRACT: An approach for improving the z-axis resolution of spiral CT using super resolution (SR) technology in the post processing step is proposed in this work. As the spiral CT has the ability to produce over-lapped slice images without over-lapped scanning, the sub-slice thickness shifts in z-axis require neither change in hardware nor any additional radiation dose. The thinner slice is obtained by combining those over-lapped slices and applying the SR algorithm. It is secure and convenient to be used in clinical cases. We use an algorithm which introduces the Papoulis-Gerchberg extrapolation within the Iterative back-projection method to process the reconstructed image serial. Experiments on phantom and patient demonstrate effectiveness of this approach. And the slice thickness limit of spiral CT system is broken by this approach.
    Proceedings of the International Conference on Image Processing, ICIP 2010, September 26-29, Hong Kong, China; 01/2010
  • Ziye Yan · Yao Lu ·
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    ABSTRACT: An approach for improving the z-axis resolution of MRI using super resolution (SR) technology in the post processing step is proposed. The 2D multi-slice MRI is often anisotropic, the z-resolution lower than the in plane resolution. And the isotropic is necessary for certain diagnostic while the truly isotropic image is hardly obtained. In this case the super resolution is an efficiency post-processing approach to obtain the demand image. In this method, the imaging volume is acquired multiple times with small spatial shifts in z-axis. We use an algorithm which introduces the Papoulis-Gerchberg extrapolation within the Iterative back-projection method to process the shift image serials. Experiments demonstrate that better edge definition in the slice select direction and signal to noise efficiency are obtained.
    2009 International Conference on Computational Intelligence and Security, CIS 2009, Beijing, China, 11-14 December 2009, Volume 1 - Conference Papers; 01/2009
  • Gang Yang · Ziye Yan · Hong Zhao ·
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    ABSTRACT: The algorithm of touching string segmentation is concerned in the work. We proposed an example based touching string segmentation algorithm. The supervised learning was used on the labelled examples and the Markov Random Field has been applied on. We used the belief propagation minimization method to select the candidate patches based on the compatibility of the neighbour patches. The output of the MRF after the iterative belief propagation forms a segmentation probability map. The cut position is extracted from the map. The experiment shows that the proposed method is effective.
    2009 International Conference on Computational Intelligence and Security, CIS 2009, Beijing, China, 11-14 December 2009, Volume 2 - Workshop Papers; 01/2009
  • Xiuzhuang Zhou · Yao Lu · Ziye Yan ·
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    ABSTRACT: In this paper, we proposed a novel approach to image completion for overlapping chromosomes. In our system, only given missing regions, the task can be performed automatically without human intervention. We address the problem of image completion for overlapping chromosomes in the context of a discrete global optimization problem. In order to reconstruct the original chromosome image as faithfully as possible, the objective cost function of this problem is defined under constraint conditions of band patterns in chromosomes image, and corresponds to the energy of a discrete Markov random fields. For efficiently optimizing this MRF, a loopy Belief Propagation algorithm is utilized to perform it. Experiment results on input overlapping chromosomes images are presented, which demonstrate the effectiveness of our approach.
    PACIIA 2008, Volume 1, 2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application, 19-20 December 2008, Wuhan, China; 01/2008