@inproceedings{a4a447a16d424c5d87deba8ddd0a25d7,
title = "Multi scale and slice-based approach for automatic spine detection",
abstract = "Dendritic spines play an essential role in the central nervous system. Recent experiments have revealed that neuron functional properties are highly correlated with the statistical and morphological changes of the dendritic spines. In this paper, we propose a new multi scale approach for detecting dendritic spines in a 2D Maximum Intensity Projection (MIP) image of the 3D neuron data stacks collected from a 2-photon laser scanning confocal microscope. The proposed method utilizes the curvilinear structure detector in conjunction with the multi scale spine detection algorithm which automatically and accurately extracts and segments the spines with variational sizes along the dendrite. In addition, a slice-based spine detection algorithm is also proposed to detect spines which are hidden from the MIP image within the dendrite area. Experimental results show that our proposed method is effective for automatic spine detection and is able to accurately segment dendrite.",
author = "Choy, {Siu Kai} and Kun Chen and Yong Zhang and Matthew Baron and Teylan, {Merilee A.} and Yong Kim and Tong, {Chong Sze} and Zhihuan Song and Wong, {Stephen T C}",
note = "Copyright: Copyright 2011 Elsevier B.V., All rights reserved.; 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 ; Conference date: 31-08-2010 Through 04-09-2010",
year = "2010",
doi = "10.1109/IEMBS.2010.5626640",
language = "English (US)",
isbn = "9781424441235",
series = "2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10",
pages = "4765--4768",
booktitle = "2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10",
}