Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024)

Mesh Deformation Algorithms for Cosmetic Surgery Simulation

Authors
Mengyuan Zhu1, *
1Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27514, USA
*Corresponding author. Email: gisellez@ad.unc.edu
Corresponding Author
Mengyuan Zhu
Available Online 23 September 2024.
DOI
10.2991/978-94-6463-512-6_33How to use a DOI?
Keywords
Mesh Deformation; Differential Domain Methods; Volumetric Laplacian; Grayscale Texture
Abstract

In the rapidly advancing field of medical simulations, cosmetic surgery simulations have become crucial tools for surgical planning, training, and enhancing patient communication. These simulations allow surgeons to visualize and predict post-operative outcomes, which aids in making informed decisions and strengthens the surgeon-patient relationship. Despite advancements in techniques like bone tissue cutting and prosthesis transplantation, challenges remain in accurately depicting postoperative appearances, largely due to the limitations of the underlying geometric models used in these simulations. The advancement of sophisticated computer-assisted technologies has significantly driven the evolution of mesh deformation algorithms. These algorithms support the iterative refinement of geometric designs through a process called mesh deformation. Typically, this involves maintaining a constant mesh topology while updating node locations to align with geometric changes, a requirement that can become restrictive when significant modifications are necessary. This review paper examines two advanced mesh deformation algorithms: Laplacian-based mesh deformation and grayscale texture-based mesh deformation, each serving distinct roles in the field of cosmetic surgery simulation. The aim is to juxtapose these techniques, analyzing their effectiveness in achieving detailed and realistic surgical simulations.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024)
Series
Advances in Intelligent Systems Research
Publication Date
23 September 2024
ISBN
978-94-6463-512-6
ISSN
1951-6851
DOI
10.2991/978-94-6463-512-6_33How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Mengyuan Zhu
PY  - 2024
DA  - 2024/09/23
TI  - Mesh Deformation Algorithms for Cosmetic Surgery Simulation
BT  - Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024)
PB  - Atlantis Press
SP  - 295
EP  - 309
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-512-6_33
DO  - 10.2991/978-94-6463-512-6_33
ID  - Zhu2024
ER  -