Literature DB >> 26158087

Parameter estimation of atherosclerotic tissue optical properties from three-dimensional intravascular optical coherence tomography.

Madhusudhana Gargesha1, Ronny Shalev2, David Prabhu1, Kentaro Tanaka3, Andrew M Rollins1, Marco Costa3, Hiram G Bezerra3, David L Wilson4.   

Abstract

We developed robust, three-dimensional methods, as opposed to traditional A-line analysis, for estimating the optical properties of calcified, fibrotic, and lipid atherosclerotic plaques from in vivo coronary artery intravascular optical coherence tomography clinical pullbacks. We estimated attenuation [Formula: see text] and backscattered intensity [Formula: see text] from small volumes of interest annotated by experts in 35 pullbacks. Some results were as follows: noise reduction filtering was desirable, parallel line (PL) methods outperformed individual line methods, root mean square error was the best goodness-of-fit, and [Formula: see text]-trimmed PL ([Formula: see text]-T-PL) was the best overall method. Estimates of [Formula: see text] were calcified ([Formula: see text]), fibrotic ([Formula: see text]), and lipid ([Formula: see text]), similar to those in the literature, and tissue classification from optical properties alone was promising.

Entities:  

Keywords:  computational imaging; image analysis; optical coherence tomography

Year:  2015        PMID: 26158087      PMCID: PMC4478755          DOI: 10.1117/1.JMI.2.1.016001

Source DB:  PubMed          Journal:  J Med Imaging (Bellingham)        ISSN: 2329-4302


  37 in total

1.  Visualization of coronary atherosclerotic plaques in patients using optical coherence tomography: comparison with intravascular ultrasound.

Authors:  Ik-Kyung Jang; Brett E Bouma; Dong-Heon Kang; Seung-Jung Park; Seong-Wook Park; Ki-Bae Seung; Kyu-Bo Choi; Milen Shishkov; Kelly Schlendorf; Eugene Pomerantsev; Stuart L Houser; H Thomas Aretz; Guillermo J Tearney
Journal:  J Am Coll Cardiol       Date:  2002-02-20       Impact factor: 24.094

2.  New method for evaluation of in vivo scattering and refractive index properties obtained with optical coherence tomography.

Authors:  A Knüttel; S Bonev; W Knaak
Journal:  J Biomed Opt       Date:  2004 Mar-Apr       Impact factor: 3.170

3.  Semiautomatic segmentation and quantification of calcified plaques in intracoronary optical coherence tomography images.

Authors:  Zhao Wang; Hiroyuki Kyono; Hiram G Bezerra; Hui Wang; Madhusudhana Gargesha; Chadi Alraies; Chenyang Xu; Joseph M Schmitt; David L Wilson; Marco A Costa; Andrew M Rollins
Journal:  J Biomed Opt       Date:  2010 Nov-Dec       Impact factor: 3.170

Review 4.  Optical coherence tomography for imaging the vulnerable plaque.

Authors:  Guillermo J Tearney; Ik-Kyung Jang; Brett E Bouma
Journal:  J Biomed Opt       Date:  2006 Mar-Apr       Impact factor: 3.170

5.  Determination of optical scattering properties of highly-scattering media in optical coherence tomography images.

Authors:  David Levitz; Lars Thrane; Michael Frosz; Peter Andersen; Claus Andersen; Stefan Andersson-Engels; Jurga Valanciunaite; Johannes Swartling; Peter Hansen
Journal:  Opt Express       Date:  2004-01-26       Impact factor: 3.894

6.  Methodology for fully automated segmentation and plaque characterization in intracoronary optical coherence tomography images.

Authors:  Lambros S Athanasiou; Christos V Bourantas; George Rigas; Antonis I Sakellarios; Themis P Exarchos; Panagiotis K Siogkas; Andrea Ricciardi; Katerina K Naka; Michail I Papafaklis; Lampros K Michalis; Francesco Prati; Dimitrios I Fotiadis
Journal:  J Biomed Opt       Date:  2014-02       Impact factor: 3.170

7.  Sources of error and interpretation of plaque morphology by optical coherence tomography.

Authors:  Olivia Manfrini; Erik Mont; Ornella Leone; Eloisa Arbustini; Vincenzo Eusebi; Renu Virmani; Raffale Bugiardini
Journal:  Am J Cardiol       Date:  2006-05-19       Impact factor: 2.778

Review 8.  Intracoronary optical coherence tomography: a comprehensive review clinical and research applications.

Authors:  Hiram G Bezerra; Marco A Costa; Giulio Guagliumi; Andrew M Rollins; Daniel I Simon
Journal:  JACC Cardiovasc Interv       Date:  2009-11       Impact factor: 11.195

9.  Quantification of macrophage content in atherosclerotic plaques by optical coherence tomography.

Authors:  Guillermo J Tearney; Hiroshi Yabushita; Stuart L Houser; H Thomas Aretz; Ik-Kyung Jang; Kelly H Schlendorf; Christopher R Kauffman; Milen Shishkov; Elkan F Halpern; Brett E Bouma
Journal:  Circulation       Date:  2003-01-07       Impact factor: 29.690

10.  Automatic stent detection in intravascular OCT images using bagged decision trees.

Authors:  Hong Lu; Madhusudhana Gargesha; Zhao Wang; Daniel Chamie; Guilherme F Attizzani; Tomoaki Kanaya; Soumya Ray; Marco A Costa; Andrew M Rollins; Hiram G Bezerra; David L Wilson
Journal:  Biomed Opt Express       Date:  2012-10-15       Impact factor: 3.732

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  9 in total

1.  3D registration of intravascular optical coherence tomography and cryo-image volumes for microscopic-resolution validation.

Authors:  David Prabhu; Emile Mehanna; Madhusudhana Gargesha; Di Wen; Eric Brandt; Nienke S van Ditzhuijzen; Daniel Chamie; Hirosada Yamamoto; Yusuke Fujino; Ali Farmazilian; Jaymin Patel; Marco Costa; Hiram G Bezerra; David L Wilson
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2016-03-29

2.  Automatic classification of atherosclerotic plaques imaged with intravascular OCT.

Authors:  Jose J Rico-Jimenez; Daniel U Campos-Delgado; Martin Villiger; Kenichiro Otsuka; Brett E Bouma; Javier A Jo
Journal:  Biomed Opt Express       Date:  2016-09-15       Impact factor: 3.732

3.  Characterization of coronary artery pathological formations from OCT imaging using deep learning.

Authors:  Atefeh Abdolmanafi; Luc Duong; Nagib Dahdah; Ibrahim Ragui Adib; Farida Cheriet
Journal:  Biomed Opt Express       Date:  2018-09-21       Impact factor: 3.732

4.  Three-dimensional registration of intravascular optical coherence tomography and cryo-image volumes for microscopic-resolution validation.

Authors:  David Prabhu; Emile Mehanna; Madhusudhana Gargesha; Eric Brandt; Di Wen; Nienke S van Ditzhuijzen; Daniel Chamie; Hirosada Yamamoto; Yusuke Fujino; Ali Alian; Jaymin Patel; Marco Costa; Hiram G Bezerra; David L Wilson
Journal:  J Med Imaging (Bellingham)       Date:  2016-06-28

5.  Automated plaque characterization using deep learning on coronary intravascular optical coherence tomographic images.

Authors:  Juhwan Lee; David Prabhu; Chaitanya Kolluru; Yazan Gharaibeh; Vladislav N Zimin; Hiram G Bezerra; David L Wilson
Journal:  Biomed Opt Express       Date:  2019-11-25       Impact factor: 3.732

6.  Voxel-based plaque classification in coronary intravascular optical coherence tomography images using decision trees.

Authors:  Chaitanya Kolluru; David Prabhu; Yazan Gharaibeh; Hao Wu; David L Wilson
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2018-02-27

7.  Processing to determine optical parameters of atherosclerotic disease from phantom and clinical intravascular optical coherence tomography three-dimensional pullbacks.

Authors:  Ronny Shalev; Madhusudhana Gargesha; David Prabhu; Kentaro Tanaka; Andrew M Rollins; Guy Lamouche; Charles-Etienne Bisaillon; Hiram G Bezerra; Soumya Ray; David L Wilson
Journal:  J Med Imaging (Bellingham)       Date:  2016-05-13

8.  Automated A-line coronary plaque classification of intravascular optical coherence tomography images using handcrafted features and large datasets.

Authors:  David Prabhu; Hiram Bezerra; Chaitanya Kolluru; Yazan Gharaibeh; Emile Mehanna; Hao Wu; David Wilson
Journal:  J Biomed Opt       Date:  2019-10       Impact factor: 3.170

9.  Review of methods and applications of attenuation coefficient measurements with optical coherence tomography.

Authors:  Shuang Chang; Audrey K Bowden
Journal:  J Biomed Opt       Date:  2019-09       Impact factor: 3.170

  9 in total

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