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Hip-Joint CT Image Segmentation Based on Hidden Markov Model with Gauss Regression Constraints

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

Abstract

Hip-joint CT images have low organizational contrast, irregular shape of boundaries and image noises. Traditional segmentation algorithms often require manual intervention or introduction of some prior information, which results in low efficiency and is unable to meet clinical needs. In order to overcome the sensitivity of classical fuzzy clustering image segmentation algorithm to image noise, this paper proposes a fuzzy clustering image segmentation algorithm combining Gaussian regression model (GRM) and hidden Markov random field (HMRF). The algorithm uses the prior information to regularize the objective function of the fuzzy C-means, and then improves it with KL information. The HMRF model establishes the neighborhood relationship of the label field by prior probability, while CRM model establishes the neighborhood relationship of feature field on the basis of the consistency between the central pixel label and its neighborhood pixel label. The experimental results show that the proposed algorithm has high segmentation accuracy.

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Authors and Affiliations

  1. Department of Radiology, Shangluo Central Hospital, Shangluo, 726000, Shaanxi, China

    Haiyang Liu

  2. Image Center of the First People’s Hospital of Kashgar, Kashgar, Xinjiang, 844000, China

    Guochao Dai

  3. Southern Central Hospital of Yunnan Province (The First People’s Hospital of Honghe State), Mengzi, 661199, Yunnan, China

    Fushun Pu

Authors
  1. Haiyang Liu
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  2. Guochao Dai
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  3. Fushun Pu
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Correspondence to Fushun Pu.

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The authors declare that there is no conflict of interests of this paper. This article does not contain any studies with human participants or animals performed by any of the authors. Informed consent was obtained from all individual participants included in the study.

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Liu, H., Dai, G. & Pu, F. Hip-Joint CT Image Segmentation Based on Hidden Markov Model with Gauss Regression Constraints. J Med Syst 43, 309 (2019). https://doi.org/10.1007/s10916-019-1439-6

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