Skip to main content

4D Cardiac Motion Modeling Using Pair-Wise Mesh Registration

  • Conference paper
  • First Online:
  • 1917 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 11395))

Abstract

In this paper, we present a novel method for the real-time cardiac motion compensation. Our method generates interpolated cardiac motion using segmented mesh models from preoperative 3D+T computed tomography angiography (CTA). We propose a pair-wise mesh registration technique for building correspondence and interpolating the control points over a cardiac cycle. The key contribution of this work is a rapid creation of a deformation field through a concise mathematical formulation while maintaining desired properties. These are \(C^2\) continuity, invertibility, incompressibility of cardiac structure and capability to handling large deformation. And we evaluated the proposed method using different conditions, such as deformation resolution, temporal sampling rates, and template model selection.

This work was supported by Industrial Strategic Technology Development Programs (10052980, 10077502) funded By the Korea Ministry of Trade, Industry and Energy (MI, Korea).

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   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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. Baka, N., et al.: Statistical coronary motion models for 2D+t/3D registration of X-ray coronary angiography and CTA. Med. Image Anal. 17(6), 698–709 (2013)

    Article  Google Scholar 

  2. Burger, M., Modersitzki, J., Ruthotto, L.: A hyperelastic regularization energy for image registration. SIAM J. Sci. Comput. 35(1), B132–B148 (2013)

    Article  MathSciNet  Google Scholar 

  3. Clark, H.: NCDs: a challenge to sustainable human development. Lancet 381(9866), 510–511 (2013)

    Article  Google Scholar 

  4. Giesler, T., et al.: Noninvasive visualization of coronary arteries using contrast-enhanced multidetector CT: influence of heart rate on image quality and stenosis detection. Am. J. Roentgenol. 179(4), 911–916 (2002)

    Article  Google Scholar 

  5. Gilbert, K., Pontre, B., Occleshaw, C., Cowan, B., Suinesiaputra, A., Young, A.: 4D modelling for rapid assessment of biventricular function in congenital heart disease. Int. J. Cardiovasc. Imaging 34(3), 407–417 (2018)

    Article  Google Scholar 

  6. Guyader, J.M., Bernardin, L., Douglas, N.H., Poot, D.H., Niessen, W.J., Klein, S.: Influence of image registration on apparent diffusion coefficient images computed from free-breathing diffusion MR images ofthe abdomen. J. Magn. Reson. Imaging 42(2), 315–330 (2015)

    Article  Google Scholar 

  7. Huang, J., Abendschein, D., Davila-Roman, V.G., Amini, A.A.: Spatio-temporal tracking of myocardial deformations with a 4-D B-spline model from tagged MRI. IEEE Trans. Med. Imaging 18(10), 957–972 (1999)

    Article  Google Scholar 

  8. Metz, C.T., et al.: Patient specific 4D coronary models from ECG-gated CTA data for intra-operative dynamic alignment of CTA with X-ray images. In: Yang, G.-Z., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds.) MICCAI 2009. LNCS, vol. 5761, pp. 369–376. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-04268-3_46

    Chapter  Google Scholar 

  9. Metz, C., Klein, S., Schaap, M., van Walsum, T., Niessen, W.J.: Nonrigid registration of dynamic medical imaging data using nD+ t B-splines and a groupwise optimization approach. Med. Image Anal. 15(2), 238–249 (2011)

    Article  Google Scholar 

  10. Ohnesorge, B.M., Flohr, T.G., Becker, C.R., Knez, A., Reiser, M.F.: Multi-slice and Dual-Source CT in Cardiac Imaging: Principles-Protocols-Indications-Outlook. Springer, Heidelberg (2006). https://doi.org/10.1007/978-3-540-49546-8

    Book  Google Scholar 

  11. Otto, C.M.: Textbook of Clinical Echocardiography E-Book. Elsevier Health Sciences, St. Louis (2013)

    Google Scholar 

  12. Peng, P., Lekadir, K., Gooya, A., Shao, L., Petersen, S.E., Frangi, A.F.: A review of heart chamber segmentation for structural and functional analysis using cardiac magnetic resonance imaging. Magn. Reson. Mater. Phys. Biol. Med. 29(2), 155–195 (2016)

    Article  Google Scholar 

  13. Rohé, M.M., Sermesant, M., Pennec, X.: Low-dimensional representation of cardiac motion using baryncetric subspaces: a new group-wise paradigm for estimation, analysis, and reconstruction. Med. Image Anal. 45, 1–12 (2017)

    Article  Google Scholar 

  14. Tarride, J.E., et al.: A review of the cost of cardiovascular disease. Can. J. Cardiol. 25(6), e195–e202 (2009)

    Article  Google Scholar 

  15. Wachinger, C., Navab, N.: Simultaneous registration of multiple images: similarity metrics and efficient optimization. IEEE Trans. Pattern Anal. Mach. Intell. 35(5), 1221–1233 (2013)

    Article  Google Scholar 

  16. Wilson, K., Guiraudon, G., Jones, D.L., Peters, T.M.: Mapping of cardiac electrophysiology onto a dynamic patient-specific heart model. IEEE Trans. Med. imaging 28(12), 1870–1880 (2009)

    Article  Google Scholar 

  17. Yabe, T., et al.: The impact of percutaneous coronary intervention using the novel dynamic coronary roadmap system. J. Am. Coll. Cardiol. 71(11), A1103 (2018)

    Article  Google Scholar 

  18. Yushkevich, P.A., et al.: User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability. Neuroimage 31(3), 1116–1128 (2006)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Deukhee Lee .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Yoon, S., Baek, S., Lee, D. (2019). 4D Cardiac Motion Modeling Using Pair-Wise Mesh Registration. In: Pop, M., et al. Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges. STACOM 2018. Lecture Notes in Computer Science(), vol 11395. Springer, Cham. https://doi.org/10.1007/978-3-030-12029-0_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-12029-0_18

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-12028-3

  • Online ISBN: 978-3-030-12029-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics