Skip to main content
SpringerLink
Log in

Real-Time Deformation of Three-Dimensional Volumetric Models Using Mesh Models

  • Conference paper
  • First Online:
Progress on Pattern Classification, Image Processing and Communications (CORES 2023, IP&C 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 766))

  • 59 Accesses

Abstract

Medical simulations based directly on CT data are appreciated for their realism in reflecting anatomy. On the other hand, such an approach introduces a number of complications when it comes to the possibilities of constructing interventional simulators. In this paper an approach to CT-based volumetric data deformation is presented using the Obi simulation system and Unity framework. This method allows for easier and faster development, while yielding realistic outcomes built upon established and reliable solution. The method was implemented within the MrTEEmothy simulation system, where deformations of the heart tissues are visible in the simulated ultrasound images, during the transeptal puncture procedure.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
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

Similar content being viewed by others

References

  1. Fedorov, A., et al.: 3D slicer as an image computing platform for the quantitative imaging network. Magn. Reson. Imaging 30(9), 1323–1241 (2012). https://doi.org/10.1016/j.mri.2012.05.001. https://www.slicer.org/

  2. Gascon, J., Espadero, J.M., Perez, A.G., Torres, R., Otaduy, M.A.: Fast deformation of volume data using tetrahedral mesh rasterization. In: Proceedings of the 12th ACM SIGGRAPH/Eurographics Symposium on Computer Animation, SCA 2013, pp. 181-185. Association for Computing Machinery, New York (2013). https://doi.org/10.1145/2485895.2485917

  3. Kempny, A., Piórkowski, A.: CT2TEE - a novel, internet-based simulator of transoesophageal echocardiography in congenital heart disease. Kardiologia Polska 68(3), 374–379 (2010)

    Google Scholar 

  4. Lasek, J.: The impact of data preprocessing on the accuracy of CNN-based heart segmentation. In: Choraś, M., et al. (eds.) CORES/IP &C/ACS -2021. LNNS, vol. 255, pp. 173–180. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-81523-3_17

    Chapter  Google Scholar 

  5. Macklin, M., Müller, M., Chentanez, N., Kim, T.Y.: Unified particle physics for real-time applications. ACM Trans. Graph. 33(4) (2014). https://doi.org/10.1145/2601097.2601152

  6. Mendez, J.M.: Obi: Unified particle physics for unity (2023). http://obi.virtualmethodstudio.com

  7. Piórkowski, A., Kempny, A.: The transesophageal echocardiography simulator based on computed tomography images. IEEE Trans. Biomed. Eng. 60(2), 292–299 (2013)

    Article  Google Scholar 

  8. Prados, F., León Salas, A., Torres, J.: Haptic interaction with elastic volumetric structures. Int. J. Creat. Interfaces Comput. Graph. (IJCICG) 3, 63–73 (2012). https://doi.org/10.4018/jcicg.2012010105

    Article  Google Scholar 

  9. Szostek, K., Piórkowski, A., Kempny, A., Banyś, R., Gackowski, A.: Using computed tomography images for a heart modeling. J. Med. Inf. Technol. 19, 75–84 (2012)

    Google Scholar 

  10. Torres, R., Rodríguez, A., Espadero, J.M., Otaduy, M.A.: High-resolution interaction with corotational coarsening models. ACM Trans. Graph. 35(6) (2016). https://doi.org/10.1145/2980179.2982414

  11. Torres, R., Rodríguez, A., Otaduy, M.: Hands-on deformation of volumetric anatomical images on a touchscreen. Appl. Sci. 11(20) (2021). https://doi.org/10.3390/app11209502

  12. Unity Technologies: Unity Real-Time Development Platform | 3D, 2D, VR & AR Engine (2023). https://unity.com/. Accessed 24 Apr 2023

Download references

Acknowledgment

The financial support was provided by the Regional Operational Programme for the Małopolska Region 2014–2020, grant number RPMP.01.02.01-12-0027/19-00, title “Digital Transseptal Puncture Simulator”. The project was also partially funded by the Doctoral School of University of Science and Technology, Cracow, Poland, as a part of the Industrial Doctoral Program “Selected phenomena simulation using ray trace technique”.

Author information

Authors and Affiliations

  1. Department of Biocybernetics and Biomedical Engineering, AGH University of Science and Technology, Mickiewicza 30 Av., 30–059, Krakow, Poland

    Kamil Szostek

  2. Medical Simulation Technologies, Miechowska St. 5b apt. 4, 30–055, Krakow, Poland

    Kamil Szostek

Authors
  1. Kamil Szostek
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Kamil Szostek .

Editor information

Editors and Affiliations

  1. Wrocław University of Science and Technology, Wrocław, Poland

    Robert Burduk

  2. University of Technology and Life Science, Bydgoszcz, Poland

    Michał Choraś

  3. University of Technology and Life Science, Bydgoszcz, Poland

    Rafał Kozik

  4. Wrocław University of Science and Technology, Wrocław, Poland

    Paweł Ksieniewicz

  5. University of Technology and Life Science, Bydgoszcz, Poland

    Tomasz Marciniak

  6. Wrocław University of Science and Technology, Wrocław, Poland

    Paweł Trajdos

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Szostek, K. (2023). Real-Time Deformation of Three-Dimensional Volumetric Models Using Mesh Models. In: Burduk, R., Choraś, M., Kozik, R., Ksieniewicz, P., Marciniak, T., Trajdos, P. (eds) Progress on Pattern Classification, Image Processing and Communications. CORES IP&C 2023 2023. Lecture Notes in Networks and Systems, vol 766. Springer, Cham. https://doi.org/10.1007/978-3-031-41630-9_6

Download citation

Publish with us

Policies and ethics

Search

Navigation