Segment and track neurons in 3D by repulsive snake method

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

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 proceeding › Conference 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 language	English (US)
Title of host publication	Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005
Pages	529-532
Number of pages	4
Volume	2005
State	Published - Dec 1 2005
Event	2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005 - Hong Kong, China Duration: Dec 13 2005 → Dec 16 2005

Other

Other	2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005
Country/Territory	China
City	Hong Kong
Period	12/13/05 → 12/16/05

ASJC Scopus subject areas

Engineering(all)

Cite this

Cai, H, Xu, X, Lu, J, Lichtman, J, Yung, SP & Wong, ST 2005, Segment and track neurons in 3D by repulsive snake method. in Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005. vol. 2005, 1595463, pp. 529-532, 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005, Hong Kong, China, 12/13/05.

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title = "Segment and track neurons in 3D by repulsive snake method",

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.",

author = "Hongmin Cai and Xiaoyin Xu and Ju Lu and Jeff Lichtman and Yung, {S. P.} and Wong, {Stephen T.}",

year = "2005",

month = dec,

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TY - GEN

T1 - Segment and track neurons in 3D by repulsive snake method

AU - Cai, Hongmin

AU - Xu, Xiaoyin

AU - Lu, Ju

AU - Lichtman, Jeff

AU - Yung, S. P.

AU - Wong, Stephen T.

PY - 2005/12/1

Y1 - 2005/12/1

N2 - 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.

AB - 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.

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M3 - Conference contribution

AN - SCOPUS:33847199738

SN - 0780392663

SN - 9780780392663

VL - 2005

SP - 529

EP - 532

BT - Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005

T2 - 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005

Y2 - 13 December 2005 through 16 December 2005

ER -

Segment and track neurons in 3D by repulsive snake method

Abstract

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ASJC Scopus subject areas

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