3D Dendrite Reconstruction and Spine Identification

Authors:
Wengang Zhou;Houqiang Li;Xiaobo Zhou
Affiliations:
Department of EEIS, University of Science and Technology of China, Hefei, P.R. China;Department of EEIS, University of Science and Technology of China, Hefei, P.R. China;Center of Biotechnology and Informatics, The Methodist Hospital, Research Institute & Weill Medical College of Cornell University, Houston TX 77030
Venue:
MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
Year:
2008

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Abstract

In neuron-biology, 3D neuron dendrite reconstruction followed by spine identification is indispensable for the study of neuronal functions and biophysical properties. In this paper, we propose an automatic dendrite reconstruction method to with a surface representation of the neuron on the basis of a novel level set approach. Our novel level set approach can effectively tackle the problem of segmentation under blurring and intensity in-homogeneity. Then spines are detected based on dendrite medial axis and a label-based thinning strategy is proposed to accurately extract the dendrite skeleton for spine identification. Experimental results reveal that our method works well.