A new snake algorithm to track neuronal structure in microscopy image

Jie Cheng, Xiaoyin Xu, Hongmin Cai, Eric L. Miller, Stephen T. Wong

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

Abstract

We present a new method using snake to segment elongated objects in optical microscopy image. Such objects include neuronal dendrites, which play an important role in regulating neurological function and have manifest changes in many neurodegenerative diseases, including Alzheimer's disease and Parkinson's disease. Based on our experience, standard gradient vector flow (GVF) snake has problem to track dendrites. The snake tends to stop too early due to the inhomogeneity of the dendrite signal. In the new method, we introduced an additional external force that aims to restart the region growing process and increase the capture range of the GVF snake. We tested the new method on real neuronal images and obtained better segmentation results. We demonstrate the performance of our method by examples.

Original languageEnglish (US)
Title of host publicationProceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005
Pages537-540
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
Country/TerritoryChina
CityHong Kong
Period12/13/0512/16/05

ASJC Scopus subject areas

  • Engineering(all)

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