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Simple noise reduction for diffusion weighted images

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Abstract

Our purpose in this study was to reduce the noise in order to improve the SNR of Dw images with high b-value by using two correction schemes. This study was performed with use of phantoms made from water and sucrose at different concentrations, which were 10, 30, and 50 weight percent (wt%). In noise reduction for Dw imaging of the phantoms, we compared two correction schemes that are based on the Rician distribution and the Gaussian distribution. The highest error values for each concentration with use of the Rician distribution scheme were 7.3 % for 10 wt%, 2.4 % for 30 wt%, and 0.1 % for 50 wt%. The highest error values for each concentration with use of the Gaussian distribution scheme were 20.3 % for 10 wt%, 11.6 % for 30 wt%, and 3.4 % for 50 wt%. In Dw imaging, the noise reduction makes it possible to apply the correction scheme of Rician distribution.

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Authors and Affiliations

  1. School of Health Sciences, Tokushima University, 3-18-15, Kuramoto-Cho, Toksuhima, Tokushima, 770-8503, Japan

    Yuto Konishi, Takatoshi Usuda & Yuki Matsumoto

  2. Institute of Biomedical Sciences, Tokushima University Graduate School, 3-18-15, Kuramoto-Cho, Toksuhima City, Tokushima, 770-8503, Japan

    Yuki Kanazawa, Hiroaki Hayashi & Junji Ueno

  3. MR Applications and Workflow Asia Pacific GE Healthcare Japan Corporation, 4-7-127, Asahigaoka, Hino, Tokyo, 191-8503, Japan

    Tsuyoshi Matsuda

  4. Department of Radiology and Radiation Oncology, Institute of Biomedical Sciences, Tokushima University Graduate School, 3-18-15, Kuramoto-Cho, Tokushima, Tokushima, 770-8509, Japan

    Masafumi Harada

Authors
  1. Yuto Konishi
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  2. Yuki Kanazawa
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  3. Takatoshi Usuda
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  4. Yuki Matsumoto
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  5. Hiroaki Hayashi
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  6. Tsuyoshi Matsuda
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  7. Junji Ueno
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  8. Masafumi Harada
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Corresponding author

Correspondence to Yuki Kanazawa.

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Conflict of interest

An author, Tsuyoshi Matsuda, is an employee of the GE Healthcare Corporation, Tokyo, Japan. All remaining authors have declared no conflicts of interest.

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Konishi, Y., Kanazawa, Y., Usuda, T. et al. Simple noise reduction for diffusion weighted images. Radiol Phys Technol 9, 221–226 (2016). https://doi.org/10.1007/s12194-016-0350-9

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  • DOI: https://doi.org/10.1007/s12194-016-0350-9

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