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A Quantitative Evaluation of 3D Soft Tissue Prediction in Maxillofacial Surgery Planning
 

Summary: A Quantitative Evaluation of 3D Soft Tissue Prediction
in Maxillofacial Surgery Planning
S. Zachow1 , Th. Hierl2, and B. Erdmann1
1 Zuse-Institute Berlin (ZIB)
2 Department of Oral-Maxillofacial, Plastic & Reconstructive Surgery
University Hospital Leipzig, Germany
Abstract. The aim of our work is to provide maxillofacial surgeons with an in-
tegrated osteotomy planning system for complex bone relocations, facilitating a
preoperative assessment of functional as well as æsthetic rehabilitation. On this
account we try to establish a robust modeling approach based on a histomechani-
cal soft tissue model that reliably predicts the postoperative facial appearance. For
two patients with distinct midfacial hypoplasia a maxillary advancement has been
exactly reproduced from postoperative CT data, and applied to a 3D planning
model derived from preoperative CT data. The resulting tissue deformations have
been computed with a finite element approximation on a tetrahedral discretization
of the patients' soft tissue. Isotropic, homogeneous as well as inhomogeneuos tis-
sue models are investigated. The simulation results are quantitatively compared
to the true postoperative outcome.
1 Motivation
In maxillofacial surgery, physicians are often faced with complex bone relocations due

  

Source: Andrzejak, Artur - Konrad-Zuse-Zentrum für Informationstechnik Berlin

 

Collections: Computer Technologies and Information Sciences