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Energy Spectrum CT Image Detection Based Dimensionality Reduction with Phase Congruency

  • Image & Signal Processing
  • Published:
Journal of Medical Systems Aims and scope Submit manuscript

Abstract

The image feature detection is widely used in image registration, image stitching and object recognition. The feature detection algorithm can be applied to the detection of artificial images, and can be used to detect the energy spectrum CT image. A new algorithm of phase consistency detection based on dimensionality reduction is proposed in this paper. We mainly focus on the phase congruency of the spectral CT images in the paper and try to use dimensionality reduction to integrate the information of phase congruency detected in the image. The experimental results show that the algorithm can detect the energy spectrum CT image with clear edge and contour, which is beneficial to the subsequent processing. Meanwhile, the algorithm presented is more effective in diagnosis of disease for medical professionals.

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Acknowledgments

The authors gratefully acknowledge the helpful comments and suggestions of the reviewers, which have improved the presentation.

Funding

This study was funded by Natural Science Foundation of Guangdong Province (grant number 2015A030313382), Science Foundation of Guangdong Provincial Communications Department (grant number 2015–02-064), the National Natural Science Foundation of China (grant number No.61402185), and Guangdong Provincial Public Research and Capacity Building Foundation funded project (grant number 2016A020223012 & 2015A020217011).

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Authors and Affiliations

  1. School of Computer, South China Normal University, Guangzhou, 510631, China

    Qingzhen Xu, Miao Li & Min Li

  2. College of Computer Science, Inner Mongolia Key Laboratory of Social Computing and Data Processing, Inner Mongolia University, Hohhot, China

    Shuai Liu

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  1. Qingzhen Xu
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Correspondence to Qingzhen Xu.

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Author Qingzhen Xu has received research grants from Natural Science Foundation of Guangdong Province, Science Foundation of Guangdong Provincial Communications Department, the National Natural Science Foundation of China, and Guangdong Provincial Public Research and Capacity Building Foundation funded project. Author Qingzhen Xu declares that he has no conflict of interest in connection with the work submitted. Author Miao Li declares that he has no conflict of interest in connection with the work submitted. Author Min Li declares that she has no conflict of interest in connection with the work submitted. Author Shuai Liu declares that he has no conflict of interest in connection with the work submitted.

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Xu, Q., Li, M., Li, M. et al. Energy Spectrum CT Image Detection Based Dimensionality Reduction with Phase Congruency. J Med Syst 42, 49 (2018). https://doi.org/10.1007/s10916-018-0904-y

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