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Accuracy Improvement In Cranio-Maxillofacial Soft Tissue Simulation Using A Muscle Embedded Meshing Approach

Kamal Shahim, Orcun Goksel, Philipp J├╝rgens, Mauricio Reyes
IEEE Engineering in Medicine and Biology Conference (EMBC)
Osaka, Japan, July 2013

Abstract

In the presented paper, we propose to improve the state-of-the-art approach for Cranio-Maxillofacial (CMF) soft tissue simulation by considering a new image-based meshing approach that accurately models the interface between different tissue types. The proposed approach has been initially evaluated on soft tissue deformations of four patients undergoing CMF surgery using post-operative CT scans. The results indicate improved prediction and robustness of the surgical planning outcome when compared to the state-of-the-art method while decreasing the simulation time.


Link to publisher's page
@InProceedings{eth_biwi_01042,
  author = {Kamal Shahim and Orcun Goksel and Philipp J\"urgens and Mauricio Reyes},
  title = {Accuracy Improvement In Cranio-Maxillofacial Soft Tissue Simulation Using A Muscle Embedded Meshing Approach},
  booktitle = {IEEE Engineering in Medicine and Biology Conference (EMBC)},
  year = {2013},
  month = {July},
  pages = {7156-9},
  keywords = {}
}