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.
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Vidholm, E., Nilsson, S., Nyström, I. (2006). Fast and Robust Semi-automatic Liver Segmentation with Haptic Interaction. In: Larsen, R., Nielsen, M., Sporring, J. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006. MICCAI 2006. Lecture Notes in Computer Science, vol 4191. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11866763_95
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DOI: https://doi.org/10.1007/11866763_95
Publisher Name: Springer, Berlin, Heidelberg
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