Abstract
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.
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Nyström, I., Nysjö, J., Malmberg, F. (2011). Visualization and Haptics for Interactive Medical Image Analysis: Image Segmentation in Cranio-Maxillofacial Surgery Planning. In: Badioze Zaman, H., et al. Visual Informatics: Sustaining Research and Innovations. IVIC 2011. Lecture Notes in Computer Science, vol 7066. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25191-7_1
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DOI: https://doi.org/10.1007/978-3-642-25191-7_1
Publisher Name: Springer, Berlin, Heidelberg
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