Segmentation of Inter-neurons in Three Dimensional Brain Imagery

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Title Segmentation of Inter-neurons in Three Dimensional Brain Imagery
Author Tuxworth, Gervase Del Moro; Meedeniya, Adrian Cuda Banda; Blumenstein, Michael Myer
Journal Name Lecture Notes in Computer Science
Editor Blanc-Talon, J.; Bone, D.; Philips, W.; Popescu, D.; Scheunders, P.
Year Published 2010
Place of publication Berlin
Publisher Springer
Abstract Segmentation of neural cells in three dimensional fluorescence microscopy images is a challenging image processing problem. In addition to being important to neurobiologists, accurate segmentation is a vital component of an automated image processing system. Due to the complexity of the data, particularly the extreme irregularity in neural cell shape, generic segmentation techniques do not perform well. This paper presents a novel segmentation technique for segmenting neural cells in three dimensional images. Accuracy rates of over 90% are reported on a data set of 100 images containing over 130 neural cells and subsequently validated using a novel data set of 64 neurons.
Peer Reviewed Yes
Published Yes
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Copyright Statement Copyright 2010 Springer Berlin / Heidelberg. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. The original publication is available at
Volume 6474
Page from 145
Page to 152
ISSN 0302-9743
Date Accessioned 2011-03-04
Language en_US
Research Centre Institute for Integrated and Intelligent Systems; Molecular Basis of Disease
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Image Processing
Publication Type Journal Articles (Refereed Article)
Publication Type Code c1

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