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Intervertebral Disc Segmentation and Diagnostic Application Based on Wavelet Denoising and AAM Model in Human Spine Image

  • Image & Signal Processing
  • Published:
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Abstract

To solve the problem of location and segmentation of intervertebral discs in spinal MRI images, a method of intervertebral disc segmentation and degeneration classification diagnosis based on wavelet image denoising and independent component analysis-active appearance model (ICA-AAM) was proposed. Firstly, the spinal MRI image is decomposed by wavelet transform, and the noise is filtered by soft threshold method. Then, aiming at the inadequacy of PCA method in AAM in describing data details, ICA is used instead of PCA to model shape and texture models, and an improved AAM segmentation model is formed. Finally, the intervertebral discs in MRI images are segmented by AAM model, and the degeneration classification of intervertebral discs is diagnosed according to the gray level characteristics of the segmented region. The experimental results show that the method can accurately locate and segment the intervertebral disc region and make classification diagnosis.

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Authors and Affiliations

  1. Tongde Hospital of Zhejiang Province, Zhejiang, 310012, Hangzhou, China

    Yang Yang & Jian Wang

  2. Faculty of Engineering, University of Yamanashi, Kofu, 4000016, Japan

    Caie Xu

Authors
  1. Yang Yang
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  2. Jian Wang
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  3. Caie Xu
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Correspondence to Yang Yang.

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We declare that we have no conflict of interest. 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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Yang, Y., Wang, J. & Xu, C. Intervertebral Disc Segmentation and Diagnostic Application Based on Wavelet Denoising and AAM Model in Human Spine Image. J Med Syst 43, 275 (2019). https://doi.org/10.1007/s10916-019-1357-7

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