A VR Environment for Cervical Tumor Segmentation Through Three-Dimensional Spatial Interaction

  • Conference paper
  • First Online:
12th Asian-Pacific Conference on Medical and Biological Engineering (APCMBE 2023)

Part of the book series: IFMBE Proceedings ((IFMBE,volume 104))

Included in the following conference series:

  • 201 Accesses

Abstract

Brachytherapy is an efficient clinical treatment way for cervical cancer, which is one of the most common gynecological malignancies. Traditional manual cervical tumor segmentation is a massive and time-consuming task, and we tend to enhance the manual segmentation efficiency. In this study, we present a novel virtual reality environment that supports cervical tumor 3D segmentation using user hands and spatial pan. We created a cervical imaging visualization platform, included the 2D and 3D medical image display and an interactive plane that connects 2D and 3D medical images. Furthermore, we proposed a 3D spatial interaction method that combines free-hand interaction with an optical localization-based interactive pen, which is both convenient and efficient. We built a prototype and verified the feasibility of the proposed environment through user research. Our prototype was well received by the participants, and the average tumor segmentation time was around 5 min. We hope to improve our environment in future.

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

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Buskwofie, A., David-West, G., Clare, C.A.: A review of cervical cancer: incidence and disparities. J. Natl. Med. Assoc. 112(2), 229–232 (2020)

    Google Scholar 

  2. Holschneider, C.H., Petereit, D.G., Chu, C., Hsu, I.-C., Ioffe, Y.J., Klopp, A.H., Pothuri, B., Chen, L.-m., Yashar, C.J.B.: Brachytherapy: a critical component of primary radiation therapy for cervical cancer: from the Society of Gynecologic Oncology (SGO) and the Am. Brachyther. Soc. (ABS) 18(2), 123–132 (2019)

    Google Scholar 

  3. Pötter, R., Tanderup, K., Schmid, M.P., Jürgenliemk-Schulz, I., Haie-Meder, C., Fokdal, L.U., Sturdza, A.E., Hoskin, P., Mahantshetty, U., Segedin, B.J.T.L.O.: MRI-guided adaptive brachytherapy in locally advanced cervical cancer (EMBRACE-I): a multicentre prospective cohort study. 22(4), 538–547 (2021)

    Google Scholar 

  4. Lin, Y.-C., Lin, C.-H., Lu, H.-Y., Chiang, H.-J., Wang, H.-K., Huang, Y.-T., Ng, S.-H., Hong, J.-H., Yen, T.-C., Lai, C.-H.J.E.r.: Deep learning for fully automated tumor segmentation and extraction of magnetic resonance radiomics features in cervical cancer 30, 1297–1305 (2020)

    Google Scholar 

  5. Fields, E.C., Hazell, S., Morcos, M., Schmidt, E.J., Chargari, C., Viswanathan, A.N.: Image-guided gynecologic brachytherapy for cervical cancer. Seminars in radiation oncology 30(1), 16–28 (2020)

    Google Scholar 

  6. Torheim, T., Malinen, E., Hole, K.H., Lund, K.V., Indahl, U.G., Lyng, H., Kvaal, K., Futsaether, C.M.: Autodelineation of cervical cancers using multiparametric magnetic resonance imaging and machine learning. Acta Oncologica 56(6), 806–812 (2017)

    Google Scholar 

  7. Zhang, N., Huang, T., Meng, Y., Zhang, X., Liao, H.: A novel in-situ interactive 3D floating autostereoscopic display system with aerial imaging plate. In: International Conference of Display Rechnology, pp. 244–247 (2020)

    Google Scholar 

  8. Zhang, N., Wang, H., Huang, T., Zhang, X., Liao, H..: A VR environment for human anatomical variation education: modeling, visualization and interaction. IEEE Transactions on Learning Technologies 17, 391–403 (2024)

    Google Scholar 

  9. Furtado, J.S., Liu, H.H., Lai, G., Lacheray, H., Desouza-Coelho, J.: Comparative analysis of optitrack motion capture systems. SMRC’18, pp. 15–31 (2019)

    Google Scholar 

Download references

Acknowledgment

The authors acknowledge supports from National Natural Science Foundation of China (U22A2051, 82027807, 62101305), National Key Research and Development Program of China (2022YFC2405200), Bei**g Municipal Natural Science Foundation (7212202), Institute for Intelligent Healthcare, Tsinghua University (2022ZLB001), Tsinghua-Foshan Innovation Special Fund (2021THFS0104).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hongen Liao .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 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

Zhang, N. et al. (2024). A VR Environment for Cervical Tumor Segmentation Through Three-Dimensional Spatial Interaction. In: Wang, G., Yao, D., Gu, Z., Peng, Y., Tong, S., Liu, C. (eds) 12th Asian-Pacific Conference on Medical and Biological Engineering. APCMBE 2023. IFMBE Proceedings, vol 104. Springer, Cham. https://doi.org/10.1007/978-3-031-51485-2_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-51485-2_12

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-51484-5

  • Online ISBN: 978-3-031-51485-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Navigation