Abstract
In the field of cranio-maxillofacial (CMF) surgery, surgical simulation is becoming a very powerful tool to plan surgery and simulate surgical results before actually performing a CMF surgical procedure. Reliable prediction of facial soft tissue changes is in particular essential for better preparation and to shorten the time taken for the operation. This paper presents a surgical simulation system to predict facial soft tissue changes caused by the movement of bone segments during CMF surgery. Two experiments were designed to test the feasibility of this simulation system. The test results demonstrate the feasibility of fast and good prediction of post-operative facial appearance, with texture. Our surgical simulation system is applicable to computer-assisted CMF surgery.
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Xiaodong Tang received his B.S. degree in mathematics and applied mathematics from Qingdao University. He is a master candidate in the Department of Computer Science, Sichuan University, Chengdu, China. His research interests include soft tissue deformation and machine learning.
Jixiang Guo received her Ph.D. degree from the Chinese University of Hong Kong’s Department of Computer Science and Engineering. She is a lecturer in Sichuan University’s College of Computer Science. Her research interests include virtual reality, soft tissue deformation, computer-assisted surgery simulation, and medical image processing.
Peng Li received his doctoral degree in oral and maxillofacial surgery from West China College of Stomatology, Sichuan University, and completed his postdoctoral research in the College of Computer Science, Sichuan University. His research interests include maxillofacial reconstruction, computer aided surgery, and biomechanics.
Jiancheng Lv received his Ph.D. degree in computer science and engineering from the University of Electronic Science and Technology of China, Chengdu, China, in 2006. He is currently a professor in the Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu, China. Prior to that, he was a research fellow in the Department of Electrical and Computer Engineering, National University of Singapore. He is the coauthor of the book Subspace Learning of Neural Networks. His research interests include neural networks and machine learning.
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Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0), which permits use, duplication, 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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Tang, X., Guo, J., Li, P. et al. A surgical simulation system for predicting facial soft tissue deformation. Comp. Visual Media 2, 163–171 (2016). https://doi.org/10.1007/s41095-016-0046-4
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DOI: https://doi.org/10.1007/s41095-016-0046-4