Roy AG, Conjeti S, Carlier SG, Konig A, Kastrati A, Dutta PK, Laine AF, Navab N, Sheet D, Katouzian A (2015)
Publication Type: Conference contribution
Publication year: 2015
Publisher: IEEE Computer Society
Book Volume: 2015-July
Pages Range: 428-431
Conference Proceedings Title: Proceedings - International Symposium on Biomedical Imaging
Event location: Brooklyn, NY, USA
ISBN: 9781479923748
DOI: 10.1109/ISBI.2015.7163903
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.
APA:
Roy, A.G., Conjeti, S., Carlier, S.G., Konig, A., Kastrati, A., Dutta, P.K.,... Katouzian, A. (2015). Bag of forests for modelling of tissue energy interaction in optical coherence tomography for atherosclerotic plaque susceptibility assessment. In Proceedings - International Symposium on Biomedical Imaging (pp. 428-431). Brooklyn, NY, USA: IEEE Computer Society.
MLA:
Roy, Abhijit Guha, et al. "Bag of forests for modelling of tissue energy interaction in optical coherence tomography for atherosclerotic plaque susceptibility assessment." Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, ISBI 2015, Brooklyn, NY, USA IEEE Computer Society, 2015. 428-431.
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