Evaluating soft tissue simulation in maxillofacial surgery using preoperative and postoperative CT scans

One of the most important issue in soft tissue modeling is to assess the quality of the simulations. A validation protocol is presented based on two CT scans of the patient acquired before and after craniomaxillofacial surgery. The actual bone repositioning realized during the intervention are accurately measured and reproduced. An evaluation of the soft tissue deformation is then computed using a finite element model of the face. The simulations are therefore compared, qualitatively and quantitatively, with the actual outcome of the surgery. This protocol enables to rigorously evaluate different modeling methods, and to assess the clinical relevance of soft tissue simulation in maxillofacial surgery. D 2004 CARS and Elsevier B.V. All rights reserved.

[1]  K. S. Arun,et al.  Least-Squares Fitting of Two 3-D Point Sets , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  Paul Suetens,et al.  Modelling of Facial Soft Tissue Growth for Maxillofacial Surgery Planning Environments , 2003, IS4TH.

[3]  S. H. Martin Roth,et al.  A framework for facial surgery simulation , 2002, SCCG '02.

[4]  Xavier Pennec,et al.  Validation of medical image processing in image-guided therapy , 2002 .

[5]  Septimiu E. Salcudean,et al.  Needle insertion modeling and simulation , 2003, IEEE Trans. Robotics Autom..

[6]  SimulationHervé Delingetteinria Towards Realistic Soft Tissue Modeling in Medical , 1997 .

[7]  Yohan Payan,et al.  Patient specific finite element model of the face soft tissues for computer-assisted maxillofacial surgery , 2003, Medical Image Anal..

[8]  Yohan Payan,et al.  Computer aided planning for orthognatic surgery , 2002 .

[9]  Evgeny Gladilin,et al.  Draw and cut: intuitive 3D osteotomy planning on polygonal bone models , 2003, CARS.

[10]  Touradj Ebrahimi,et al.  MESH: measuring errors between surfaces using the Hausdorff distance , 2002, Proceedings. IEEE International Conference on Multimedia and Expo.

[11]  Ramin Shahidi,et al.  Validation of medical image processing in image-guided therapy , 2002, IEEE Transactions on Medical Imaging.

[12]  Septimiu E. Salcudean,et al.  Needle insertion modelling and simulation , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[13]  Stephane Cotin,et al.  Truth cube: Establishing physical standards for soft tissue simulation , 2003, Medical Image Anal..