Skip to main content

Prediction of Rib Motion During Free-Breathing from Liver Observations Using 4D MRI

  • Conference paper
  • First Online:
Clinical Image-Based Procedures. Translational Research in Medical Imaging (CLIP 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9401))

Included in the following conference series:

  • 617 Accesses

Abstract

Magnetic resonance guided high intensity focused ultrasound (MRgHIFU) is a new therapy for treating malignant liver tissues. However, the motion of the ribs in the beam path may compromise an effective and safe treatment. Due to poor visibility of bones in MR and US liver images, tracking them in real time is currently not feasible. We propose a method for modeling and registration of the respiratory motion of the ribs. Moreover, we show that it is possible to predict the ribs’ motion based on a few tracked points in the liver. Our registration had a mean error of 1.06 mm for deep inhalations with an average motion of 2.71 mm. We developed subject-specific and population-based modeling methods, which recover 60 % and 40 % of the respiratory motion extracted through registration, respectively. To the best of our knowledge, this is the first time the ribs’ motion due to respiration has been directly studied during free breathing over a relatively long time (100 breathing cycles).

We acknowledge the grants n\(^o\) 270186 and n\(^o\) 611889 from the EU’s Seventh Framework Programme.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 34.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 44.99
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

Institutional subscriptions

References

  1. Gao, J., Volovick, A., Pekelny, Y., Huang, Z., Cochran, S., Melzer, A.: Focusing through the rib cage for MR-guided transcostal FUS. AIP Conf. Proc. 1481(1), 94–99 (2012)

    Article  Google Scholar 

  2. Gray, H.: Anatomy of the human body. Bartleby.com, New York (2000). www.bartleby.com/107/

  3. Ibanez, L., Schroeder, W., Ng, L., Cates, J.: The ITK Software Guide. Kitware Inc, second edn. ISBN 1-930934-15-7 (2005)

    Google Scholar 

  4. Jung, S.E., Cho, S.H., Jang, J.H., Han, J.Y.: High-intensity focused ultrasound ablation in hepatic and pancreatic cancer: Complications. Abdom. Imaging 36(2), 185–195 (2011)

    Article  Google Scholar 

  5. Kennedy, J., Eberhart, R.: Particle swarm optimization. ICNN 4, 1942–1948 (1995)

    Google Scholar 

  6. McClelland, J., Hawkes, D., Schaeffter, T., King, A.: Respiratory motion models: A review. Med Image Anal. 17(1), 19–42 (2013)

    Article  Google Scholar 

  7. Mohr, M., Abrams, E., Engel, C., Long, W.B., Bottlang, M.: Geometry of human ribs pertinent to orthopedic chest-wall reconstruction. J. Biomech. 40(6), 1310 (2007)

    Article  Google Scholar 

  8. Samei, G., Székely, G., Tanner, C.: Detection and registration of ribs in MRI using geometric and appearance models. In: Golland, P., Hata, N., Barillot, C., Hornegger, J., Howe, R. (eds.) MICCAI 2014, Part I. LNCS, vol. 8673, pp. 706–713. Springer, Heidelberg (2014)

    Google Scholar 

  9. Samei, G., Tanner, C., Székely, G.: Predicting liver motion using exemplar models. In: Yoshida, H., Hawkes, D., Vannier, M.W. (eds.) MMCP 2012 and CCAAI 2012. LNCS, vol. 7601, pp. 147–157. Springer, Heidelberg (2012)

    Google Scholar 

  10. Tanner, C., Boye, D., Samei, G., Szekely, G.: Review on 4D models for organ motion compensation. Crit. Rev. Biomed. Eng. 40(2), 135 (2012)

    Article  Google Scholar 

  11. Von Siebenthal, M., Székely, G., Gamper, U., Boesiger, P., Lomax, A., Cattin, P.: 4D MR imaging of respiratory organ motion and its variability. Phys. Med. Biol. 52, 1547 (2007)

    Article  Google Scholar 

  12. Wilson, T., Rehder, K., Krayer, S., Hoffman, E., Whitney, C., Rodarte, J.: Geometry and respiratory displacement of human ribs. J. Appl. Physiol. 62(5), 1872 (1987)

    Google Scholar 

  13. Zhang, Z.: Iterative point matching for registration of free-form curves and surfaces. Int. J. Comput. Vis. 13(2), 119–152 (1994)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Golnoosh Samei .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Samei, G., Székely, G., Tanner, C. (2016). Prediction of Rib Motion During Free-Breathing from Liver Observations Using 4D MRI. In: Oyarzun Laura, C., et al. Clinical Image-Based Procedures. Translational Research in Medical Imaging. CLIP 2015. Lecture Notes in Computer Science(), vol 9401. Springer, Cham. https://doi.org/10.1007/978-3-319-31808-0_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-31808-0_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-31807-3

  • Online ISBN: 978-3-319-31808-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics