Clinical evaluation of a highly accurate algorithm for CT bone contour segmentation
Pernozzoli, A.; Burghart, C.; Brief, J.; Hassfeld, S.; Raczkowsky, J.; Mühling, J.; Wörn, H.
Studies in Health Technology and Informatics 70: 246-252
2000
ISSN/ISBN: 0926-9630 PMID: 10977550 Document Number: 520679
Planning, visualisation and intraoperative navigation in a robot assisted environment for craniofacial surgery require highly accurate methods for the segmentation of bone structures in CT data. Clinical systems are still based on time consuming interactive methods like the seed-point segmentation. Faster methods with no need for interactivity lacks in precision. In the following we will present an automatic and highly accurate algorithm for the segmentation of bone contours in CT data. It is based on an algorithm for the automatic calculation of a grey-value tissue relation model for CT and MRI data.