Segmentation and tracking of 3D neuron microscopy images using a PDE based method and connected component labeling algorithm

Yalin Wang; Ilhwan Jo; Stephen Wong; Shing Tung Yau; Tony F. Chan

doi:10.1109/LSSA.2006.250432

Segmentation and tracking of 3D neuron microscopy images using a PDE based method and connected component labeling algorithm

Yalin Wang, Ilhwan Jo, Stephen Wong, Shing Tung Yau, Tony F. Chan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

In this paper we introduce our preliminary research results for segmentation and labeling of 3-dimensional microscopy neuron image, We segment each of stacked 2-dimensional image slices using a Partial Differential Equation (PDE) based algorithm and project previous slice segmentation result to the next slide as an initialization condition. Then we label neurons using an efficient connected component labeling algorithm. We show sample results obtained from real neuron image data.

Original language	English (US)
Title of host publication	2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006
DOIs	https://doi.org/10.1109/LSSA.2006.250432
State	Published - Dec 1 2006
Externally published	Yes
Event	2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006 - Bethesda, MD, United States Duration: Jul 13 2006 → Jul 14 2006

Publication series

Name	2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006

Other

Other	2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006
Country/Territory	United States
City	Bethesda, MD
Period	7/13/06 → 7/14/06

ASJC Scopus subject areas

Health(social science)
Assessment and Diagnosis
General Medicine
Health Information Management
Electrical and Electronic Engineering
Human-Computer Interaction
Computer Science Applications
Signal Processing

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10.1109/LSSA.2006.250432

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Wang, Y., Jo, I., Wong, S., Yau, S. T., & Chan, T. F. (2006). Segmentation and tracking of 3D neuron microscopy images using a PDE based method and connected component labeling algorithm. In 2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006 Article 4015833 (2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006). https://doi.org/10.1109/LSSA.2006.250432

Segmentation and tracking of 3D neuron microscopy images using a PDE based method and connected component labeling algorithm. / Wang, Yalin; Jo, Ilhwan; Wong, Stephen et al.
2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006. 2006. 4015833 (2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Wang, Y, Jo, I, Wong, S, Yau, ST & Chan, TF 2006, Segmentation and tracking of 3D neuron microscopy images using a PDE based method and connected component labeling algorithm. in 2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006., 4015833, 2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006, 2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006, Bethesda, MD, United States, 7/13/06. https://doi.org/10.1109/LSSA.2006.250432

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abstract = "In this paper we introduce our preliminary research results for segmentation and labeling of 3-dimensional microscopy neuron image, We segment each of stacked 2-dimensional image slices using a Partial Differential Equation (PDE) based algorithm and project previous slice segmentation result to the next slide as an initialization condition. Then we label neurons using an efficient connected component labeling algorithm. We show sample results obtained from real neuron image data.",

author = "Yalin Wang and Ilhwan Jo and Stephen Wong and Yau, {Shing Tung} and Chan, {Tony F.}",

year = "2006",

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AB - In this paper we introduce our preliminary research results for segmentation and labeling of 3-dimensional microscopy neuron image, We segment each of stacked 2-dimensional image slices using a Partial Differential Equation (PDE) based algorithm and project previous slice segmentation result to the next slide as an initialization condition. Then we label neurons using an efficient connected component labeling algorithm. We show sample results obtained from real neuron image data.

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Segmentation and tracking of 3D neuron microscopy images using a PDE based method and connected component labeling algorithm

Abstract

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