Title
A Template-Propagation Method For Segmentation Of Filamentous Structures In Electron Tomograms
Abstract
We report a method for semi-automated segmentation of extended features such as filamentous structures in electron tomograms. We present an application of this method for the automatic propagation of segmented neuro-filaments present along the axis of an axonal section of fixed, plastic-embedded mouse brain tissue imaged by three-dimensional electron microscopy. The algorithm uses the manually segmented features in a given slice to progressively extend the segmentation to successive slices based on knowledge of the centroids, shapes, and intensities of filaments in the previous slice. An iterative procedure allows for refinement of the most probable locations of the filaments in each slice. Evaluation of the performance of the propagation algorithm by visual inspection suggests that this approach can be used successfully for the rapid quantitative and statistical analysis of filamentous structures in cellular tomograms.
Year
DOI
Venue
2004
10.1109/ISBI.2004.1398459
2004 2ND IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: MACRO TO NANO, VOLS 1 and 2
Keywords
Field
DocType
shape,image segmentation,three dimensional,visual inspection,image reconstruction,statistical analysis,electron microscopy,image analysis,pixel,tomography
Iterative reconstruction,Computer vision,Pattern recognition,Computer science,Segmentation,Tomography,Electron microscope,Image segmentation,Artificial intelligence,Pixel,Centroid,Electron
Conference
Citations 
PageRank 
References 
3
0.49
5
Authors
5
Name
Order
Citations
PageRank
Subramaniam Sriram1645.84
Peijun Zhang230.49
David Germain330.49
Tracey Rouault430.49
Wei-Cheng Shen57615.22