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Challenges and Constraints in Deformation-Based Medical Mesh Representation

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Advances in Computer Graphics (CGI 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14498))

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Abstract

Mesh representation of medical imaging isosurfaces are essential for medical analysis. These representations are typically obtained using mesh extraction methods to segment 3D volumes. However, the meshes extracted from such methods often suffer from undesired staircase artefacts. In this paper, we evaluate the existing mesh deformation methods that deform a template mesh to desired shapes. We evaluate two variants of such method on three datasets of varying topological complexity. Our objective is to demonstrate that, despite the mesh deformation methods having their limitations, they avoid the generation of staircase artefacts.

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Acknowledgments

This research was supported by ARC DP200103748.

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Authors and Affiliations

  1. University of Sydney, Camperdown, NSW, 2050, Australia

    Ge Jin & Jinman Kim

  2. Gachon University, Seongnam, Gyeonggi, 13306, Republic of Korea

    Younhyun Jung

Authors
  1. Ge Jin
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  2. Younhyun Jung
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  3. Jinman Kim
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Corresponding author

Correspondence to Ge Jin .

Editor information

Editors and Affiliations

  1. Shanghai Jiao Tong University, Shanghai, China

    Bin Sheng

  2. Shanghai Jiao Tong University, Shanghai, China

    Lei Bi

  3. University of Sydney, Sydney, NSW, Australia

    Jinman Kim

  4. MIRALab-CUI, University of Geneve, Carouge, Geneve, Switzerland

    Nadia Magnenat-Thalmann

  5. Swiss federal Institute of Technology, Lausanne, Switzerland

    Daniel Thalmann

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Jin, G., Jung, Y., Kim, J. (2024). Challenges and Constraints in Deformation-Based Medical Mesh Representation. In: Sheng, B., Bi, L., Kim, J., Magnenat-Thalmann, N., Thalmann, D. (eds) Advances in Computer Graphics. CGI 2023. Lecture Notes in Computer Science, vol 14498. Springer, Cham. https://doi.org/10.1007/978-3-031-50078-7_12

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  • DOI: https://doi.org/10.1007/978-3-031-50078-7_12

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