18 March 2016 Fusion of cone-beam CT and 3D photographic images for soft tissue simulation in maxillofacial surgery
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Abstract
During maxillofacial surgery, prediction of the facial outcome after surgery is main concern for both surgeons and patients. However, registration of the facial CBCT images and 3D photographic images has some difficulties that regions around the eyes and mouth are affected by facial expressions or the registration speed is low due to their dense clouds of points on surfaces. Therefore, we propose a framework for the fusion of facial CBCT images and 3D photos with skin segmentation and two-stage surface registration. Our method is composed of three major steps. First, to obtain a CBCT skin surface for the registration with 3D photographic surface, skin is automatically segmented from CBCT images and the skin surface is generated by surface modeling. Second, to roughly align the scale and the orientation of the CBCT skin surface and 3D photographic surface, point-based registration with four corresponding landmarks which are located around the mouth is performed. Finally, to merge the CBCT skin surface and 3D photographic surface, Gaussian-weight-based surface registration is performed within narrow-band of 3D photographic surface.
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Soyoung Chung, Soyoung Chung, Joojin Kim, Joojin Kim, Helen Hong, Helen Hong, "Fusion of cone-beam CT and 3D photographic images for soft tissue simulation in maxillofacial surgery", Proc. SPIE 9786, Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, 978629 (18 March 2016); doi: 10.1117/12.2217274; https://doi.org/10.1117/12.2217274
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