Bag of forests for modelling of tissue energy interaction in optical coherence tomography for atherosclerotic plaque susceptibility assessment

Abhijit Guha Roy, Sailesh Conjeti, Stephane G. Carlier, Andreas Konig, Adnan Kastrati, Pranab K. Dutta, Andrew F. Laine, Nassir Navab, Debdoot Sheet, Amin Katouzian

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

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.

Original languageEnglish
Title of host publication2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015
PublisherIEEE Computer Society
Pages428-431
Number of pages4
ISBN (Electronic)9781479923748
DOIs
StatePublished - 21 Jul 2015
Event12th IEEE International Symposium on Biomedical Imaging, ISBI 2015 - Brooklyn, United States
Duration: 16 Apr 201519 Apr 2015

Publication series

NameProceedings - International Symposium on Biomedical Imaging
Volume2015-July
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Conference

Conference12th IEEE International Symposium on Biomedical Imaging, ISBI 2015
Country/TerritoryUnited States
CityBrooklyn
Period16/04/1519/04/15

Keywords

  • Fibrotic cap
  • Intravscular optical coherence tomography
  • Random forests
  • Tissue characterization

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