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PMID: 16861006 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Repulsive force based snake model to segment and track neuronal axons in 3D microscopy image stacks.

NeuroImage ·Vol. 32 ·No. 4 ·2006-10-01 ·Pages 1608-20

Cai H, Xu X, Lu J, Lichtman JW, Yung SP, Wong ST

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.

MeSH Terms
Algorithms Animals Axons/physiology Brain/anatomy & histology,cytology Imaging, Three-Dimensional/methods Models, Statistical Motor Neurons/physiology Neurons/physiology Peripheral Nervous System/cytology,physiology
Authors & Affiliations
6 authors, click to expand affiliations / ORCID
Cai Hongmin
Center for Bioinformatics, Harvard Center for Neurodegeneration and Repair, and Department of Radiology, Brigham and Women's Hospital, Boston, MA 02114, USA.
Xu Xiaoyin
Lu Ju
Lichtman Jeff W
Yung S P
Wong Stephen T C
Article Info
Journal
NeuroImage
Abbr.
Neuroimage
ISSN
1053-8119
Published
2006-10-01
Epub
2006-00-24
Pages
1608-20
Language
English
Region
United States
NLM ID
9215515
Subset
IM
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