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DWI Denoising Using Spatial, Angular, and Radiometric Filtering

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Multimodal Brain Image Analysis (MBIA 2012)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7509))

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Abstract

In this paper, we study the effectiveness of the concurrent utilization of spatial, angular, and radiometric (SAR) information for denoising diffusion-weighted data. SAR filtering smooths diffusion-weighted images while at the same time preserves edges by means of nonlinear combination of nearby and similar signal values. The method is noniterative, local, and simple. It combines diffusion signals based on both their spatio-angular closeness and their radiometric similarity, with greater preference given to nearby and similar values. Our results suggest that SAR filtering reveals structures that are concealed by noise and produces anisotropy maps with markedly improved quality.

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Author information

Authors and Affiliations

  1. Department of Radiology and Biomedical Research Imaging Center (BRIC), The University of North Carolina at Chapel Hill, U.S.A.

    Pew-Thian Yap & Dinggang Shen

Authors
  1. Pew-Thian Yap
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  2. Dinggang Shen
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Editor information

Editors and Affiliations

  1. School of Medicine, Department of Radiology and Biomedical Reserach Imaging Center, The University of North Carolina at Chapel Hill, 130 Mason Farm Road, 27599, Chapel Hill, NC, USA

    Pew-Thian Yap  & Dinggang Shen  & 

  2. Department of Computer Science and Bioimaging Research Center, The University of Georgia, Boyd GSRC 422, 30602, Athens, GA, USA

    Tianming Liu

  3. Department of Radiology, Harvard Medical School, Brigham and Women’s Hospital, 1249 Boylston Street, 02215, Boston, MA, USA

    Carl-Fredrik Westin

  4. School of Medicine, Department of Radiology and Imaging Sciences, Indiana University, 950 W Walnut Street, R2 E124, 46202, Indianapolis, IN, USA

    Li Shen

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© 2012 Springer-Verlag Berlin Heidelberg

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Yap, PT., Shen, D. (2012). DWI Denoising Using Spatial, Angular, and Radiometric Filtering. In: Yap, PT., Liu, T., Shen, D., Westin, CF., Shen, L. (eds) Multimodal Brain Image Analysis. MBIA 2012. Lecture Notes in Computer Science, vol 7509. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33530-3_17

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  • DOI: https://doi.org/10.1007/978-3-642-33530-3_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33529-7

  • Online ISBN: 978-3-642-33530-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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