Title
Three-dimensional dendritic spine detection based on minimal cross-sectional curvature
Abstract
The morphological changes of dendritic spines play a role in adaptive changes of the bram, and dysregulation of them is implicated in various neurological disorders. A systematic analysis tool for the morphology of dendritic spines, acquired via high resolution optical microscopy, should contribute to our understanding of neurophysiology as well as neuropathology. However, large numbers of high-resolution dendritic spine images make manual labeling extremely difficult and laborious. This is particularly challenging for the slender and curved dendritic spines frequently found in the striatum, dysregulation of which is highly implicated in neuropsychiatrie diseases, especially when compared to the analysis of relatively small and bulbous dendritic spines in other bram areas, including the hippocampus and cortex, synaptic dysregulation and neurodegeneration, of which are implicated in Alzheimer's disease. In this paper, we present cross-sectional curvature, a new feature, for detecting the tip of dendritic spines in stnatal neurons, the spines of which are then segmented using the region growing strategy. Comparative results showed that our method was more accurate and superior to the existing ones.
Year
DOI
Venue
2012
10.1109/ISBI.2012.6235891
ISBI
Keywords
Field
DocType
high-resolution dendritic spine images,curved dendritic spines,neuropathology,slender,medical disorders,neuropsychiatric diseases,diseases,alzheimer's disease,hippocampus,neurophysiology,striatum,synaptic dysregulation,image resolution,image segmentation,segmentation,dendritic spine labeling,neuron image,neurological disorders,optical microscopy,cross-sectional curvature,dendritic spine detection,brain,neurodegeneration,cortex,high resolution optical microscopy,striatal neurons,medical image processing,morphological changes,cross section,three dimensional,high resolution,region growing,decision support systems,dendritic spine,helium,decision support system
Cortex (botany),Anatomy,Neurophysiology,Dendritic spine,Computer science,Dendritic filopodia,Neurodegeneration,Neuropathology,Hippocampus
Conference
ISSN
ISBN
Citations 
1945-7928
978-1-4577-1857-1
2
PageRank 
References 
Authors
0.36
4
4
Name
Order
Citations
PageRank
Tiancheng He16110.27
Zhong Xue249645.70
Yong Kim3192.78
Stephen T. Wong4336.97