Carving: scalable interactive segmentation of neural volume electron microscopy images

Authors:
C. N. Straehle;U. Köthe;G. Knott;F. A. Hamprecht
Affiliations:
University of Heidelberg, Heidelberg, Germany;University of Heidelberg, Heidelberg, Germany;Ecole Polytechnique Fédérale, Lausanne, Switzerland;University of Heidelberg, Heidelberg, Germany
Venue:
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Year:
2011

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Abstract

Interactive segmentation algorithms should respond within seconds and require minimal user guidance. This is a challenge on 3D neural electron microscopy images. We propose a supervoxel-based energy function with a novel background prior that achieves these goals. This is verified by extensive experiments with a robot mimicking human interactions. A graphical user interface offering access to an open source implementation of these algorithms is made available.