Abstract
We present a method for semi-automatic segmentation of the liver from CT scans. True 3D interaction with haptic feedback is used to facilitate initialization, i.e., seeding of a fast marching algorithm. Four users initialized 52 datasets and the mean interaction time was 40 seconds. The segmentation accuracy was verified by a radiologist. Volume measurements and segmentation precision show that the method has a high reproducibility. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Vidholm, E., Nilsson, S., & Nyström, I. (2006). Fast and robust semi-automatic liver segmentation with haptic interaction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4191 LNCS-II, pp. 774–781). Springer Verlag. https://doi.org/10.1007/11866763_95
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