Paper Info
Title
A novel method for dendritic spines detection based on directional morphological filter and shortest path.
Abstract
Dendritic spines are tiny membranous protrusions from neuron's dendrites. They play a very important role in the nervous system. A number of mental diseases such as Alzheimer's disease and mental retardation are revealed to have close relations with spine morphologies or spine number changes. Spines have various shapes, and spine images are often not of good quality; hence it is very challenging to detect spines in neuron images. This paper presents a novel pipeline to detect dendritic spines in 2D maximum intensity projection (MIP) images and a new dendrite backbone extraction method is developed in the pipeline. The strategy for the backbone extraction approach is that it iteratively refines the extraction result based on directional morphological filtering and improved Hessian filtering until a satisfactory extraction result is obtained. A shortest path method is applied along a backbone to extract the boundary of the dendrites. Spines are then segmented from the dendrites outside the extracted boundary. Touching spines will be split using a marker-controlled watershed algorithm. We present the results of our algorithm on real images and compare our algorithm with two other spine detection methods. The results show that the proposed approach can detect dendrites and spines more accurately. Measurements and classification of spines are also made in this paper.
Year
DOI
Venue
2014
10.1016/j.compmedimag.2014.07.006
Computerized Medical Imaging and Graphics
Keywords
DocType
Volume
Dendritic spines,Dendrite,Backbone extraction,Boundary detection,Shortest path
Journal
38
Issue
ISSN
Citations 
8
0895-6111
1
PageRank 
References 
Authors
0.49
21
4
Name
Order
Citations
PageRank
Ran Su1283.36
Changming Sun289588.21
Chao Zhang382.73
Tuan Pham450373.75