Literature DB >> 23632229

Intracoronary imaging using attenuation-compensated optical coherence tomography allows better visualisation of coronary artery diseases.

Nicolas Foin1, Jean Martial Mari, Sukhjinder Nijjer, Sayan Sen, Ricardo Petraco, Matteo Ghione, Carlo Di Mario, Justin E Davies, Michaël J A Girard.   

Abstract

PURPOSE: To allow an accurate diagnosis of coronary artery diseases by enhancing optical coherence tomography (OCT) images of atheromatous plaques using a novel automated attenuation compensation technique.
BACKGROUND: One of the major drawbacks of coronary OCT imaging is the rapid attenuation of the OCT signal, limiting penetration in tissue to only few millimetres. Visualisation of deeper anatomy is however critical for accurate assessment of plaque burden in-vivo.
METHODS: A compensation algorithm, previously developed to correct for light attenuation in soft tissues and to enhance contrast in ophthalmic OCT images, was applied to intracoronary plaque imaging using spectral-domain OCT.
RESULTS: Application of the compensation algorithm significantly increased tissue contrast in the vessel wall and atherosclerotic plaque boundaries. Contrast enhancement allows a better differentiation of plaque morphology, which is particularly important for the identification of lipid rich fibro atheromatous plaques and to guide decision on treatment strategy.
CONCLUSION: The analysis of arterial vessel structure clinically captured with OCT is improved when used in conjunction with automated attenuation compensation. This approach may improve the OCT-based interpretation of coronary plaque morphology in clinical practice.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2013        PMID: 23632229     DOI: 10.1016/j.carrev.2013.03.007

Source DB:  PubMed          Journal:  Cardiovasc Revasc Med        ISSN: 1878-0938


  6 in total

1.  In vivo optic nerve head biomechanics: performance testing of a three-dimensional tracking algorithm.

Authors:  Michaël J A Girard; Nicholas G Strouthidis; Adrien Desjardins; Jean Martial Mari; C Ross Ethier
Journal:  J R Soc Interface       Date:  2013-07-24       Impact factor: 4.118

2.  Deep feature learning for automatic tissue classification of coronary artery using optical coherence tomography.

Authors:  Atefeh Abdolmanafi; Luc Duong; Nagib Dahdah; Farida Cheriet
Journal:  Biomed Opt Express       Date:  2017-01-30       Impact factor: 3.732

Review 3.  Translating ocular biomechanics into clinical practice: current state and future prospects.

Authors:  Michaël J A Girard; William J Dupps; Mani Baskaran; Giuliano Scarcelli; Seok H Yun; Harry A Quigley; Ian A Sigal; Nicholas G Strouthidis
Journal:  Curr Eye Res       Date:  2014-05-15       Impact factor: 2.424

4.  Enhancement of Corneal Visibility in Optical Coherence Tomography Images Using Corneal Adaptive Compensation.

Authors:  Michaël J A Girard; Marcus Ang; Cheuk Wang Chung; Mohamed Farook; Nick Strouthidis; Jod S Mehta; Jean Martial Mari
Journal:  Transl Vis Sci Technol       Date:  2015-05-15       Impact factor: 3.283

5.  A simplified method to measure choroidal thickness using adaptive compensation in enhanced depth imaging optical coherence tomography.

Authors:  Preeti Gupta; Elizabeth Sidhartha; Michael J A Girard; Jean Martial Mari; Tien-Yin Wong; Ching-Yu Cheng
Journal:  PLoS One       Date:  2014-05-05       Impact factor: 3.240

6.  Enhancement of Corneal Visibility in Optical Coherence Tomography Images with Corneal Opacification.

Authors:  Cheuk Wang Chung; Marcus Ang; Mohamed Farook; Nicholas G Strouthidis; Joddhbir S Mehta; Jean Martial Mari; Michaël J A Girard
Journal:  Transl Vis Sci Technol       Date:  2016-09-08       Impact factor: 3.283

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.