Skip to main content

Referenced Based Color Transfer for Medical Volume Rendering

  • Conference paper
  • First Online:
  • 1414 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 12509))

Abstract

The benefits of medical imaging are enormous. Medical images provide considerable amounts of anatomical information and this facilitates medical practitioners in performing effective disease diagnosis and deciding upon the best course of medical treatment. A transition from traditional monochromatic medical images like CT scans, X-Rays, or MRI images to a colored 3D representation of the anatomical structure could further aid medical professionals in extracting valuable medical information. The proposed framework in our research starts with performing color transfer by finding deep semantic correspondence between two medical images: a colored reference image, and a monochromatic CT scan or an MRI image. We extend this idea of reference based colorization technique to perform colored volume rendering from a stack of grayscale medical images. Furthermore, we also propose to use an effective reference image recommendation system to aid for selection of good reference images. With our approach, we successfully perform colored medical volume visualization and essentially eliminate the painstaking process of user interaction with a transfer function to obtain color parameters for volume rendering.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • 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

Learn about institutional subscriptions

References

  1. Ackerman, M.J.: The visible human project. Proc. IEEE 86(3), 504–511 (1998)

    Article  Google Scholar 

  2. Barnes, C., Shechtman, E., Goldman, D.B., Finkelstein, A.: The generalized PatchMatch correspondence algorithm. In: European Conference on Computer Vision, September 2010

    Google Scholar 

  3. Berger, M., Li, J., Levine, J.A.: A generative model for volume rendering. IEEE Trans. Visual Comput. Graphics 25(4), 1636–1650 (2019)

    Article  Google Scholar 

  4. Cheng, Z., Yang, Q., Sheng, B.: Deep colorization. In: Proceedings of the 2015 IEEE International Conference on Computer Vision (ICCV), ICCV 2015, pp. 415–423. IEEE Computer Society, USA (2015)

    Google Scholar 

  5. Farbman, Z., Fattal, R., Lischinski, D., Szeliski, R.: Edge-preserving decompositions for multi-scale tone and detail manipulation. ACM Trans. Graph. 27(3), 1–10 (2008)

    Article  Google Scholar 

  6. Fedorov, A., et al.: 3D slicer as an image computing platform for the quantitative imaging network. Magn. Reson. Imaging 30, 1323–1341 (2012)

    Article  Google Scholar 

  7. Gastal, E.S.L., Oliveira, M.M.: Domain transform for edge-aware image and video processing. ACM Trans. Graph. 30(4) (2011)

    Google Scholar 

  8. He, K., Sun, J., Tang, X.: Guided image filtering. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010. LNCS, vol. 6311, pp. 1–14. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-15549-9_1

    Chapter  Google Scholar 

  9. He, M., Chen, D., Liao, J., Sander, P.V., Yuan, L.: Deep exemplar-based colorization. ACM Trans. Graph. 37, 4 (2018)

    Google Scholar 

  10. He, M., Liao, J., Yuan, L., Sander, P.V.: Neural color transfer between images. arXiv abs/1710.00756 (2017)

    Google Scholar 

  11. Hong, F., Liu, C., Yuan, X.: DNN-VolVis: interactive volume visualization supported by deep neural network. In: 2019 IEEE Pacific Visualization Symposium (PacificVis), pp. 282–291 (2019)

    Google Scholar 

  12. Iizuka, S., Simo-Serra, E., Ishikawa, H.: Let there be color! joint end-to-end learning of global and local image priors for automatic image colorization with simultaneous classification. ACM Trans. Graph. 35(4), 1–11 (2016)

    Article  Google Scholar 

  13. Irony, R., Cohen-Or, D., Lischinski, D.: Colorization by example. In: Proceedings of the Sixteenth Eurographics Conference on Rendering Techniques, EGSR 2005, Goslar, DEU, pp. 201–210. Eurographics Association (2005)

    Google Scholar 

  14. Kindlmann, G., Durkin, J.W.: Semi-automatic generation of transfer functions for direct volume rendering. In: Proceedings of the 1998 IEEE Symposium on Volume Visualization, VVS 1998, New York, NY, USA, pp. 79–86. Association for Computing Machinery (1998)

    Google Scholar 

  15. Kniss, J., Kindlmann, G., Hansen, C.: Multidimensional transfer functions for interactive volume rendering. IEEE Trans. Visual Comput. Graphics 8(3), 270–285 (2002)

    Article  Google Scholar 

  16. Larsson, G., Maire, M., Shakhnarovich, G.: Learning representations for automatic colorization. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9908, pp. 577–593. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-46493-0_35

    Chapter  Google Scholar 

  17. Levin, A., Lischinski, D., Weiss, Y.: Colorization using optimization. In: ACM SIGGRAPH 2004 Papers, SIGGRAPH 2004, New York, NY, USA, pp. 689–694. Association for Computing Machinery (2004)

    Google Scholar 

  18. Liao, J., Yao, Y., Yuan, L., Hua, G., Kang, S.B.: Visual attribute transfer through deep image analogy. ACM Trans. Graph. 36(4) (2017)

    Google Scholar 

  19. Min, D., Choi, S., Lu, J., Ham, B., Sohn, K., Do, M.: Fast global image smoothing based on weighted least squares. IEEE Trans. Image Process. 23, 5638–5653 (2014)

    Article  MathSciNet  Google Scholar 

  20. Qu, Y., Wong, T.T., Heng, P.A.: Manga colorization. ACM Trans. Graph. 25(3), 1214–1220 (2006)

    Article  Google Scholar 

  21. Roettger, S., Bauer, M., Stamminger, M.: Spatialized transfer functions. In: Brodlie, K., Duke, D., Joy, K. (eds.) EUROVIS 2005: Eurographics/IEEE VGTC Symposium on Visualization. The Eurographics Association (2005)

    Google Scholar 

  22. Russakovsky, O., et al.: ImageNet large scale visual recognition challenge. Int. J. Comput. Vision 115(3), 211–252 (2015). https://doi.org/10.1007/s11263-015-0816-y

    Article  MathSciNet  Google Scholar 

  23. Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv 1409.1556 (2014)

    Google Scholar 

  24. He, T., Hong, L., Kaufman, A., Pfister, H.: Generation of transfer functions with stochastic search techniques. In: Proceedings of Seventh Annual IEEE Visualization 1996, pp. 227–234 (1996)

    Google Scholar 

  25. Welsh, T., Ashikhmin, M., Mueller, K.: Transferring color to greyscale images. ACM Trans. Graph. 21(3), 277–280 (2002)

    Article  Google Scholar 

  26. Zhang, R., Isola, P., Efros, A.A.: Colorful image colorization. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9907, pp. 649–666. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-46487-9_40

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sudarshan Devkota .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Devkota, S., Pattanaik, S. (2020). Referenced Based Color Transfer for Medical Volume Rendering. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2020. Lecture Notes in Computer Science(), vol 12509. Springer, Cham. https://doi.org/10.1007/978-3-030-64556-4_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-64556-4_16

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-64555-7

  • Online ISBN: 978-3-030-64556-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics