[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to main content
Springer Nature Link
Log in

3D Adaptive Wavelet Shrinkage Denoising while Preserving Fine Structures

  • Conference paper
  • First Online:
Bildverarbeitung für die Medizin 2018

Part of the book series: Informatik aktuell ((INFORMAT))

  • 3089 Accesses

Zusammenfassung

By this contribution we tackle the challenge of denoising MRI image data while preserving fine structures. Log-Gabor wavelets offer a good compromise between spatial and spectral resolution, thus allowing to extract the local phase at all image voxels. Shrinking only the complex-valued wavelet response vectors at different scales and orientations leaves the essential phase information undistorted. We propose an adaptive shrinking threshold based on supervoxels and also based on the amount of texture in a particular image region. Therefore, the proposed adaptive 3D technique preserves fine structures and outperforms existing methods in terms of peak signal-to-noise ratio (PSNR)/structural similarity (SSIM) in cases of elevated noise perturbation.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
GBP 19.95
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
GBP 47.99
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
GBP 59.99
Price includes VAT (United Kingdom)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

Literatur

  1. Saha PK, Udupa JK. Scale-based diffusive image filtering preserving boundary sharpness and fine structures. IEEE Trans Biomed Eng. 2001;20(11):1140–1155.

    Google Scholar 

  2. Kovesi P. Phase preserving denoising of images. Austr Pat Recogn Soc Conf DICTA. 1999;4(3):212–217.

    Google Scholar 

  3. Canny J. A computational approach to edge detection. IEEE Trans Pattern Anal Mach Intell. 1986;(6):679–698.

    Google Scholar 

  4. Achanta R, Shaji A, Smith K, et al. SLIC superpixels compared to state-of-the-art superpixel methods. IEEE Trans Pattern Anal Mach Intell. 2012;34(11):2274–2282.

    Google Scholar 

  5. Morariu CA, Dohle DS, Tsagakis K, et al. Extraction of the aortic dissection membrane via spectral phase information. In: proc BVM. Springer; 2015. p. 305–310.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Intelligent Systems, Faculty of Engineering, University of Duisburg-Essen, Duisburg, Deutschland

    Cosmin Adrian Morariu, Alice Eckhardt, Tobias Terheiden & Josef Pauli

  2. Department of Orthopaedics and Trauma Surgery, University Hospital Essen, Essen, Deutschland

    Stefan Landgräber & Marcus Jäger

Authors
  1. Cosmin Adrian Morariu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Alice Eckhardt
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Tobias Terheiden
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Stefan Landgräber
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Marcus Jäger
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Josef Pauli
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Cosmin Adrian Morariu .

Editor information

Editors and Affiliations

  1. Pattern Recognition Lab, Friedrich-Alexander-Universität, Erlangen, Bayern, Germany

    Andreas Maier

  2. Peter-L. Reichertz Inst. f. Med. Inf., Technische Univ. Braunschweig, Braunschweig, Niedersachsen, Germany

    Thomas M. Deserno

  3. Universität zu Lübeck, Institut für Medizinische Informatik, Lübeck, Germany

    Heinz Handels

  4. Medical Image Computing, E230, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany

    Klaus Hermann Maier-Hein

  5. Regensburg Medical Image Computing, Ostbayer. TH Regensburg, Regensburg, Germany

    Christoph Palm

  6. Inst. f. Med. Informatik, Charité - Universitätsmedizin, Berlin, Berlin, Germany

    Thomas Tolxdorff

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer-Verlag GmbH Deutschland

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Morariu, C.A., Eckhardt, A., Terheiden, T., Landgräber, S., Jäger, M., Pauli, J. (2018). 3D Adaptive Wavelet Shrinkage Denoising while Preserving Fine Structures. In: Maier, A., Deserno, T., Handels, H., Maier-Hein, K., Palm, C., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2018. Informatik aktuell. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-56537-7_95

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-56537-7_95

  • Published:

  • Publisher Name: Springer Vieweg, Berlin, Heidelberg

  • Print ISBN: 978-3-662-56536-0

  • Online ISBN: 978-3-662-56537-7

  • eBook Packages: Computer Science and Engineering (German Language)

Publish with us

Policies and ethics

Search

Navigation