Paper Info
Title
Automated analysis of remyelination therapy for spinal cord injury
Abstract
Demyelination- the loss of myelin sheath that insulates axons, is a prominent feature in many neurological disorders resulting in spinal cord injury (SCI). The lost myelin sheath can be replaced by remyelination, used in SCI treatment. In this paper, we propose an algorithm for efficient automated analysis of remyelination therapy. We use a robust, shape-independent algorithm based on iso-contour analysis of the image at progressively increasing intensity levels for detecting cell boundaries. The detected boundaries of spatially clustered cells are then separated using Delaunay triangulation based contour separation method. The therapeutically important oligodendrocyte-remyelinated axons (OR-axons) are identified and a density map is generated for efficacy analysis of the therapy. Our efficient automated remyelination analysis significantly reduces error due to human subjectivity. We corroborate the accuracy of our results by extensive cross-verification by the domain experts.
Year
DOI
Venue
2010
10.1145/1924559.1924601
ICVGIP
Keywords
Field
DocType
remyelination therapy,delaunay triangulation,iso-contour analysis,efficient automated analysis,spinal cord injury,lost myelin sheath,sci treatment,automated analysis,shape-independent algorithm,efficient automated remyelination analysis,efficacy analysis,myelin sheath,random forest
Spinal cord injury,Pattern recognition,Computer science,Artificial intelligence,Remyelination,Delaunay triangulation,Video mining,Myelin
Conference
Citations 
PageRank 
References 
2
0.40
11
Authors
5
Name
Order
Citations
PageRank
Koel Das1907.58
Aditi Majumder278862.12
Monica Siegenthaler340.75
Hans Keirstead440.75
M. Gopi527224.83