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Removal of random-valued impulse noise from Cerenkov luminescence images

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Abstract

Cerenkov luminescence imaging(CLI) is an emerging molecular imaging technology able to optically visualize radioactive decay signals from medical isotopes and has found wide application in tumor diagnose, cancer therapy, drug development, intraoperative guidance, and so on. When Cerenkov luminescence data are collected, the high-energy particles from the radioactive nucleus will be detected by the sensitive CCD camera and lead to impulse noise. To suppress the impulse noise and improve the contrast of the useful signal to the background, the detection-based fuzzy switching median filtering framework is proposed in this paper. Several experiments were conducted respectively to investigate the statistical feature of the noise and to evaluate the performance of the proposed noise removal framework. The results show that the signal-to-noise ratio is improved after noise elimination. The proposed filtering framework outperforms the classical median filter in terms of root mean squared error and the structural similarity index. It also preserves the maximum value and the mean value in the regions of interest better than the median filter does. In addition, compared with the FLICMCDD algorithm, the proposed method works much faster while getting similar results.

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Funding

This work was supported in part by the Program of the National Key Research and Development Program of China under Grant Nos. 2018YFC0910600 and 2016YFC0103802; the Fundamental Research Funds for Central Universities JB171206; the National Natural Science Foundation of China under Grant Nos. 81627807 and 81571725; and the Fok Ying-Tong Education Foundation of China under Grant No 161104.

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Authors and Affiliations

  1. Engineering Research Center of Molecular and Neuro Imaging of Ministry of China, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi, China

    Duofang Chen, Shouping Zhu, Jimin Liang & Xueli Chen

  2. Department of Ultrasound, Xian Chest Hospital, Xi’an, Shaanxi, China

    Yi Huang

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  1. Duofang Chen
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  2. Shouping Zhu
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  3. Yi Huang
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  4. Jimin Liang
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  5. Xueli Chen
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Correspondence to Xueli Chen.

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Animal care and protocols are approved by the Fourth Military Medical University Animal Studies Committee, China.

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The authors declare that they have no conflict of interest.

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Chen, D., Zhu, S., Huang, Y. et al. Removal of random-valued impulse noise from Cerenkov luminescence images. Med Biol Eng Comput 58, 131–141 (2020). https://doi.org/10.1007/s11517-019-02069-9

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  • DOI: https://doi.org/10.1007/s11517-019-02069-9

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