DocumentCode :
3274555
Title :
Segment and track neurons in 3D by repulsive snake method
Author :
Cai, Hongmin ; Xu, Xiaoyin ; Lu, Ju ; Lichtman, Jeff ; Yung, S.P. ; Wong, Stephen TC
Author_Institution :
Dept. of Math., Hong Kong Univ., China
fYear :
2005
fDate :
13-16 Dec. 2005
Firstpage :
529
Lastpage :
532
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.
Keywords :
image segmentation; medical image processing; microscopy; neural nets; tracking; active contour model; microscopy; neuronal function; neurons segmentation; neurons tracking; repulsive snake method; Active contours; Bioinformatics; Biomedical imaging; Equations; Image segmentation; Mathematics; Microscopy; Morphology; Neurons; Radiology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Signal Processing and Communication Systems, 2005. ISPACS 2005. Proceedings of 2005 International Symposium on
Print_ISBN :
0-7803-9266-3
Type :
conf
DOI :
10.1109/ISPACS.2005.1595463
Filename :
1595463
Link To Document :
بازگشت