3D soft tissue predictions with a tetrahedral mass tensor model for a maxillofacial planning system: a quantitative validation study

W. Mollemans; F. Schutyser; N. Nadjmi; F. Maes; P. Suetens

doi:10.1117/12.653063

10 March 2006 3D soft tissue predictions with a tetrahedral mass tensor model for a maxillofacial planning system: a quantitative validation study

W. Mollemans, F. Schutyser, N. Nadjmi, F. Maes, P. Suetens

Author Affiliations +

Proceedings Volume 6141, Medical Imaging 2006: Visualization, Image-Guided Procedures, and Display; 614118 (2006) https://doi.org/10.1117/12.653063
Event: Medical Imaging, 2006, San Diego, California, United States

Abstract

In this paper we present an extensive quantitative validation on 3D facial soft tissue simulation for maxillofacial surgery planning. The study group contained 10 patients. In previous work we presented a new Mass Tensor Model to simulate the new facial appearance after maxillofacial surgery in a fast way. 10 patients were preoperatively CT-scanned and the surgical intervention was planned. 4 months after surgery, a post-operative control CT was acquired. In this study, the simulated facial outlook is compared with post-operative image data. After defining corresponding points between the predicted and actual post-operative facial skin surface, using a variant of the non-rigid TPS-RPM algorithm, distances between these correspondences are quantified and visualized in 3D. As shown, the average median distance measures only 0.60 mm and the average 90% percentile stays below 1.5 mm. We can conclude that our model clearly provides an accurate prediction of the real post-operative outcome and is therefore suitable for use in clinical practice.

Citation Download Citation

W. Mollemans, F. Schutyser, N. Nadjmi, F. Maes, and P. Suetens "3D soft tissue predictions with a tetrahedral mass tensor model for a maxillofacial planning system: a quantitative validation study", Proc. SPIE 6141, Medical Imaging 2006: Visualization, Image-Guided Procedures, and Display, 614118 (10 March 2006); https://doi.org/10.1117/12.653063

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