Paper Info
Title
Bag Of Forests For Modelling Of Tissue Energy Interaction In Optical Coherence Tomography For Atherosclerotic Plaque Susceptibility Assessment
Abstract
Atherosclerosis assessment using the high resolution of intravascular optical coherence tomography (IV-OCT) enables the visualisation of tissue pools which are susceptible to rupture. However, the stochastic nature of OCT speckles leads to subjectivity in interpretation. In this paper, we present a framework for to OCT tissue energy interaction driven marker for identifying susceptible pool of tissues. The local statistics of OCT speckles is coupled with estimate of optical attenuation and signal confidence measures in a multiscale approach. Further, a bag of random forests is trained on a bank of 22 OCT cross-sections where susceptible tissues have been identified by correlating with the histology. Evaluating the performance on 22 other diverse cross-sections substantiates robustness of the framework. It is envisaged that this framework would help in objective assessment of plaque susceptibility and aid in more confident decision making during interventions.
Year
Venue
Keywords
2015
2015 IEEE 12TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI)
Intravscular optical coherence tomography, Random forests, Fibrotic cap, Tissue characterization
Field
DocType
ISSN
Computer vision,Confidence measures,Optical coherence tomography,Speckle pattern,Pattern recognition,Computer science,Coherence (physics),Local statistics,Artificial intelligence,Random forest,Optical imaging
Conference
1945-7928
Citations 
PageRank 
References 
2
0.53
4
Authors
10
Name
Order
Citations
PageRank
Abhijit Guha Roy113911.71
Sailesh Conjeti218123.19
Stephane G Carlier3494.74
Andreas König4111.61
Adnan Kastrati531.23
Pranab K. Dutta619917.44
Andrew F. Laine774783.01
Nassir Navab86594578.60
Debdoot Sheet99217.01
Amin Katouzian1021922.66