Fast and robust semi-automatic liver segmentation with haptic interaction

Authors:
Erik Vidholm;Sven Nilsson;Ingela Nyström
Affiliations:
Centre for Image Analysis, Uppsala University, Sweden;Dept. of Radiology and Clinical Immunology, Uppsala University Hospital, Sweden;Centre for Image Analysis, Uppsala University, Sweden
Venue:
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
Year:
2006

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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.