A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Constraints on deformable models: recovering 3D shape and nongrid motion
Artificial Intelligence
3D imaging in medicine
General Object Reconstruction Based on Simplex Meshes
International Journal of Computer Vision
IEEE Computer Graphics and Applications
Snakes, shapes, and gradient vector flow
IEEE Transactions on Image Processing
Towards user-guided quantitative evaluation of wrist fractures in CT images
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
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A central problem in cranio-maxillofacial (CMF) surgery is to restore the normal anatomy of the skeleton after defects, e.g., trauma to the face. With careful pre-operative planning, the precision and predictability of the craniofacial reconstruction can be significantly improved. In addition, morbidity can be reduced thanks to shorter operation time. An important component in surgery planning is to be able to accurately measure the extent of anatomical structures. Of particular interest are the shape and volume of the orbits (eye sockets). These properties can be measured in 3D CT images of the skull, provided that an accurate segmentation of the orbits is available. Here, we present a system for interactive segmentation of the orbit in CT images. The system utilizes 3D visualization and haptic feedback to facilitate efficient exploration and manipulation of 3D data.