Nothing Special   »   [go: up one dir, main page]
Skip to main content
Springer Nature Link
Log in

Automatic extraction of the mitral valve chordae geometry for biomechanical simulation

  • Original Article
  • Published:
International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

Abstract

Purpose

Mitral valve computational models are widely studied in the literature. They can be used for preoperative planning or anatomical understanding. Manual extraction of the valve geometry on medical images is tedious and requires special training, while automatic segmentation is still an open problem.

Methods

We propose here a fully automatic pipeline to extract the valve chordae architecture compatible with a computational model. First, an initial segmentation is obtained by sub-mesh topology analysis and RANSAC-like model-fitting procedure. Then, the chordal structure is optimized with respect to objective functions based on mechanical, anatomical, and image-based considerations.

Results

The approach has been validated on 5 micro-CT scans with a graph-based metric and has shown an \(87.5\%\) accuracy rate. The method has also been tested within a structural simulation of the mitral valve closed state.

Conclusion

Our results show that the chordae architecture resulting from our algorithm can give results similar to experienced users while providing an equivalent biomechanical simulation.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14

Similar content being viewed by others

Notes

  1. All the figures are better seen in PDF format.

References

  1. Abu-Aisheh Z, Raveaux R, Ramel JY, Martineau P (2015) An exact graph edit distance algorithm for solving pattern recognition problems. In: International conference on Pattern recognition applications and methods . Lisbon

  2. Badhwar V, Vemulapalli S, Mack M, Gillinov A, Chikwe J, Dearani J, Grau-Sepulveda M, Habib R, Rankin J, Jacobs J, McCarthy P, Bloom J, Kurlansky P, Wyler von Ballmoos M, Thourani V, Edgerton J, Vassileva C, Gammie J, Shahian D (2020) Volume-outcome association of mitral valve surgery in the United States. JAMA Cardiol 5(10):1092–1101

    Article  Google Scholar 

  3. Canny J (1986) A computational approach to edge detection. IEEE Trans Pattern Anal Mach Intell 8(6):679–698

    Article  CAS  Google Scholar 

  4. Carpentier A, Adams D, Filsoufi F (2010) Reconstructive valve surgery: from valve analysis to valve reconstruction. ClinicalKey. Elsevier, Amsterdam

    Google Scholar 

  5. Cochran RP, Kunzelman KS (1998) Effect of papillary muscle position on mitral valve function: relationship to homografts. Ann Thor Surg 66:155–161

    Article  Google Scholar 

  6. Feng L, Qi N, Gao H, Sun W, Vazquez M, Griffith BE, Luo X (2018) On the chordae structure and dynamic behaviour of the mitral valve. IMA J Appl Math 83(6):1066–1091. https://doi.org/10.1093/imamat/hxy035

    Article  PubMed  PubMed Central  Google Scholar 

  7. Gaidulis G, Selmi M, Zakarkaitė D, Aidietis A, Kačianauskas R (2019) Modelling and simulation of mitral valve for transapical repair applications. Nonlin Anal Modell Control 24(4):485–502

    Google Scholar 

  8. Gao H, Qi N, Feng L, Ma X, Danton M, Berry C, Luo X (2014) A finite strain nonlinear human mitral valve model with fluid-structure interaction. Int J Num Methods Biomed Eng 30(12):1597–613

    Article  Google Scholar 

  9. Hammer PE, del Nido PJ, Howe RD (2011) Anisotropic mass-spring method accurately simulates mitral valve closure from image-based models. Function imaging of the modeling heart. Springer, Heidelberg, pp 233–240

    Chapter  Google Scholar 

  10. Khalighi A, Drach A, Bloodworth C, Pierce E, Yoganathan A, Gorman R, Gorman J, Sacks M (2017) Mitral valve chordae tendineae: topological and geometrical characterization. Ann Biomed Eng 45(2):378–393

    Article  Google Scholar 

  11. Kunzelman K, Reimink M, Cochran R (1997) Annular dilatation increases stress in the mitral valve and delays coaptation: a finite element computer model. Cardiovasc Surg 5(4):427–434

    Article  CAS  Google Scholar 

  12. Marler R, Arora J (2004) Survey of multi-objective optimization methods for engineering. Struct Multidiscip Optim 26:369–395

    Article  Google Scholar 

  13. Muresian H (2009) The clinical anatomy of the mitral valve. Clin Anatom 22(1):85–98. https://doi.org/10.1002/ca.20692

    Article  Google Scholar 

  14. Panicheva D, Villard PF, Berger MO (2019) Toward an automatic segmentation of mitral valve chordae. In: Gimi B, Kro A (eds) SPIE medical imaging, vol 10953. SPIE. San Diego, United States, pp 1095315–1095323

    Google Scholar 

  15. Panicheva D, Villard PF, Hammer P, Berger MO (2019) Physically-coherent Extraction of mitral valve chordae. In: International Conference in Computing in cardiology, vol. 46, p. 4. IEEE, Singapore, Singapore

  16. Prot V, Haaverstad R, Skallerud B (2009) Finite element analysis of the mitral apparatus: annulus shape effect and chordal force distribution. Biomech Model Mechanobiol 8(1):43–55. https://doi.org/10.1007/s10237-007-0116-8

    Article  CAS  PubMed  Google Scholar 

  17. Sacks M, Drach A, Lee CH, Khalighi A, Rego B, Zhang W, Ayoub S, Yoganathan A, Gorman RC, Gorman Iii JH (2019) On the simulation of mitral valve function in health, disease, and treatment. J Biomech Eng 141(7), 0708041–07080422. https://doi.org/10.1115/1.4043552

  18. Toma M, Jensen MØ, Einstein DR, Yoganathan AP, Cochran RP, Kunzelman KS (2016) Fluid-structure interaction analysis of papillary muscle forces using a comprehensive mitral valve model with 3d chordal structure. Ann Biomed Eng 44(4):942–953

    Article  Google Scholar 

  19. Villard PF, Hammer PE, Perrin DP, Del Nido PJ, Howe R (2018) Fast image-based mitral valve simulation from individualized geometry. Int J Med Robot Comput Assist Surg 14(2):1880

    Article  Google Scholar 

  20. Wang Q, Sun W (2013) Finite element modeling of mitral valve dynamic deformation using patient-specific multi-slices computed tomography scans. Ann Biomed Eng 41(1):142–153

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. CNRS, Inria, LORIA, Université de Lorraine, Nancy, France

    Daryna Panicheva, Pierre-Frédéric Villard & Marie-Odile Berger

  2. Harvard School of Engineering and Applied Sciences, Cambridge, MA, USA

    Pierre-Frédéric Villard & Douglas Perrin

  3. Harvard Medical School, Boston, MA, USA

    Peter E. Hammer & Douglas Perrin

Authors
  1. Daryna Panicheva
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Pierre-Frédéric Villard
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Peter E. Hammer
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Douglas Perrin
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Marie-Odile Berger
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Pierre-Frédéric Villard or Marie-Odile Berger.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

All applicable international, national and/or institutional guidelines for the care and use of animals were followed.

Informed consent

This articles does not contain patient data.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Panicheva, D., Villard, PF., Hammer, P.E. et al. Automatic extraction of the mitral valve chordae geometry for biomechanical simulation. Int J CARS 16, 709–720 (2021). https://doi.org/10.1007/s11548-021-02368-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11548-021-02368-3

Keywords

Search

Navigation