Segment and track neurons in 3D by repulsive snake method

Hongmin Cai, Xiaoyin Xu, Ju Lu, Jeff Lichtman, S. P. Yung, Stephen T. Wong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a snake (active contour) model based on repulsive force to segment neurons obtained from microscopy. Based on these segmentation results, we track the neurons in 3D image to look for its branch structure. These segmentation results allow user to study morphology of neurons to further investigate neuronal function and connectivity. This repulsive snake model can successfully segment two or multiple neurons that are close to each other by some alternating repulsive force generated from the neighboring objects. We apply our results on real data to demonstrate the performance of our method.

Original languageEnglish (US)
Title of host publicationProceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005
Pages529-532
Number of pages4
Volume2005
StatePublished - Dec 1 2005
Event2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005 - Hong Kong, China
Duration: Dec 13 2005Dec 16 2005

Other

Other2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005
CountryChina
CityHong Kong
Period12/13/0512/16/05

ASJC Scopus subject areas

  • Engineering(all)

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