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Morphology filter bank for extracting nodular and linear patterns in medical images

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International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

Abstract

Purpose

Using image processing to extract nodular or linear shadows is a key technique of computer-aided diagnosis schemes. This study proposes a new method for extracting nodular and linear patterns of various sizes in medical images.

Methods

We have developed a morphology filter bank that creates multiresolution representations of an image. Analysis bank of this filter bank produces nodular and linear patterns at each resolution level. Synthesis bank can then be used to perfectly reconstruct the original image from these decomposed patterns.

Results

Our proposed method shows better performance based on a quantitative evaluation using a synthesized image compared with a conventional method based on a Hessian matrix, often used to enhance nodular and linear patterns. In addition, experiments show that our method can be applied to the followings: (1) microcalcifications of various sizes in mammograms can be extracted, (2) blood vessels of various sizes in retinal fundus images can be extracted, and (3) thoracic CT images can be reconstructed while removing normal vessels.

Conclusions

Our proposed method is useful for extracting nodular and linear shadows or removing normal structures in medical images.

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Acknowledgements

This study was supported by a Grant from the Adaptable and Seamless Technology Transfer Program through target-driven R&D (A-STEP) from JST, No. AS262Z00661H.

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Authors and Affiliations

  1. Graduate School of Science and Technology, Kumamoto University, 2-39-1, Kurokami, Chuo-ku, Kumamoto-shi, Kumamoto, 860-8555, Japan

    Ryutaro Hashimoto, Keiichi Uchimura, Gou Koutaki & Tomoki Inoue

  2. Department of Medical Physics, Faculty of Life Science, Kumamoto University, 4-24-1 Kuhonji, Kumamoto, Kumamoto, 862-0976, Japan

    Yoshikazu Uchiyama

Authors
  1. Ryutaro Hashimoto
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  2. Yoshikazu Uchiyama
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  3. Keiichi Uchimura
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  4. Gou Koutaki
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  5. Tomoki Inoue
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Corresponding author

Correspondence to Yoshikazu Uchiyama.

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Conflict of interest

The authors declare that they have no conflict of interest from company.

Research involving human participants and/or animals

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent

This study proposes a novel image processing technique. For clinical application in this study, medical images in public image database were used. To collect these medical images, informed consent was obtained from all individual participants in each institution participated for making public image databases.

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Hashimoto, R., Uchiyama, Y., Uchimura, K. et al. Morphology filter bank for extracting nodular and linear patterns in medical images. Int J CARS 12, 617–625 (2017). https://doi.org/10.1007/s11548-016-1503-3

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  • DOI: https://doi.org/10.1007/s11548-016-1503-3

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