0
Special Section on Optical Methods in Vascular Biology and Medicine

Atherosclerotic tissue characterization in vivo by optical coherence tomography attenuation imaging

[+] Author Affiliations
Gijs van Soest, Thadé Goderie, Evelyn Regar

Erasmus Medical Center, Thorax Center, PO Box 2040, Rotterdam 3000CA, The Netherlands

Senada Koljenović, Geert L. J. H. van Leenders

Erasmus Medical Center, Department of Pathology, PO Box 2040, Rotterdam 3000CA, The Netherlands

Nieves Gonzalo, Sander van Noorden, Takayuki Okamura

Erasmus Medical Center, Thorax Center, PO Box 2040, Rotterdam 3000CA, The Netherlands

Brett E. Bouma

Massachusetts General Hospital, Wellman Center for Photomedicine, 40 Blossom Street, Boston, Massachusetts 02114 and Department of Dermatology, Harvard Medical School, Boston Massachusetts and Harvard-Massachusetts Institute of Technology, Division of Health Sciences and Technology, Cambridge, Massachusetts 02139

Guillermo J. Tearney

Massachusetts General Hospital, Wellman Center for Photomedicine, 40 Blossom Street, Boston, Massachusetts 02114 and Harvard-Massachusetts Institute of Technology, Division of Health Sciences and Technology, Cambridge, Massachusetts and Harvard Medical School, Department of Pathology, Boston, Massachusetts 02114

J. Wolter Oosterhuis

Erasmus Medical Center, Department of Pathology, PO Box 2040, Rotterdam 3000CA, The Netherlands

Patrick W. Serruys

Erasmus Medical Center, Thorax Center, PO Box 2040, Rotterdam 3000CA, The Netherlands

Anton F. W. van der Steen

Erasmus Medical Center, Thorax Center, PO Box 2040, Rotterdam 3000CA, The Netherlands and Institute of the Netherlands, Interuniversity Cardiology, Utrecht, The Netherlands

J. Biomed. Opt. 15(1), 011105 (January 15, 2010). doi:10.1117/1.3280271
History: Received April 29, 2009; Revised August 10, 2009; Accepted August 18, 2009; Published January 15, 2010; Online January 15, 2010
Text Size: A A A

Optical coherence tomography (OCT) is rapidly becoming the method of choice for assessing arterial wall pathology in vivo. Atherosclerotic plaques can be diagnosed with high accuracy, including measurement of the thickness of fibrous caps, enabling an assessment of the risk of rupture. While the OCT image presents morphological information in highly resolved detail, it relies on interpretation of the images by trained readers for the identification of vessel wall components and tissue type. We present a framework to enable systematic and automatic classification of atherosclerotic plaque constituents, based on the optical attenuation coefficient μt of the tissue. OCT images of 65 coronary artery segments in vitro, obtained from 14 vessels harvested at autopsy, are analyzed and correlated with histology. Vessel wall components can be distinguished based on their optical properties: necrotic core and macrophage infiltration exhibit strong attenuation, μt10mm1, while calcific and fibrous tissue have a lower μt25mm1. The algorithm is successfully applied to OCT patient data, demonstrating that the analysis can be used in a clinical setting and assist diagnostics of vessel wall pathology.

Figures in this Article
© 2010 Society of Photo-Optical Instrumentation Engineers

Citation

Gijs van Soest ; Thadé Goderie ; Evelyn Regar ; Senada Koljenović ; Geert L. J. H. van Leenders, et al.
"Atherosclerotic tissue characterization in vivo by optical coherence tomography attenuation imaging", J. Biomed. Opt. 15(1), 011105 (January 15, 2010). ; http://dx.doi.org/10.1117/1.3280271


Access This Article
Sign In to Access Full Content
Please Wait... Processing your request... Please Wait.
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
 
Your Session has timed out. Please sign back in to continue.
Sign In to Access Full Content

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

PubMed Articles
Advertisement


Buy this article ($18 for members, $25 for non-members).
Sign In