Paper Info
Title
Repulsive force based snake model to segment and track neuronal axons in 3D microscopy image stacks.
Abstract
The branching patterns of axons and dendrites are fundamental structural properties that affect the synaptic connectivity of axons. Although today three-dimensional images of fluorescently labeled processes can be obtained to study axonal branching, there are no robust methods of tracing individual axons. This paper describes a repulsive force based snake model to segment and track axonal profiles in 3D images. This new method segments all the axonal profiles in a 2D image and then uses the results obtained from that image as prior information to help segment the adjacent 2D image. In this way, the segmentation successfully connects axonal profiles over hundreds of images in a 3D image stack. Individual axons can then be extracted based on the segmentation results. The utility and performance of the method are demonstrated using 3D axonal images obtained from transgenic mice that express fluorescent protein.
Year
DOI
Venue
2006
10.1016/j.neuroimage.2006.05.036
NeuroImage
Keywords
Field
DocType
3d imaging,transgenic mice
Computer vision,Stack (abstract data type),Segmentation,Computer science,Artificial intelligence,Microscopy,Branching (version control),3d image
Journal
Volume
Issue
ISSN
32
4
1053-8119
Citations 
PageRank 
References 
31
1.59
20
Authors
6
Name
Order
Citations
PageRank
Hongmin Cai116024.84
Xiaoyin Xu219222.19
Ju Lu316611.97
Jeff W. Lichtman413412.41
S. P. Yung518117.68
Stephen T. C. Wong61081134.56