Intravascular optical coherence tomography (iOCT) is an emerging image technology that will play a central role in advancing our understanding of human vascular biology and will contribute to informed treatment decisions. OCT's high speed acquisition, good tissue contrast, low noise, and excellent resolution reportedly enables one to image plaque components such as the thick/thin fibrous cap, lipid core, calcifications, and possibly lipid filled macrophages. However, at 100 images/sec, the amount of image data and details generated by OCT can be overwhelming to the practicing clinician. Our long-range goal is to develop image visualization and computer aided diagnosis (CAD) methods that we hypothesize will enable one using iOCT to detect rapidly and reliably findings of interest, and to make informed treatment decisions. In this preliminary study, we propose to obtain vessel segments from cadavers and create an iOCT database containing lesions confirmed with heretofore-unavailable accuracy, to potentially validate emergent iOCT findings (e.g., neovasculature), to perform a pilot study of the accuracy of readings by cardiologists, and to identify potential methods for CAD processing. Key will be the Case cryo-imaging/histology system developed by us, a section-and-image system that provides microscopic 3D data sets of an entire vessel segment as well as selected histology. With it, careful experimental methods, and 3D image registration, we will create a unique iOCT image database with accurately registered, independently confirmed findings. If successful, this proposed research will set the stage for a comprehensive program to optimize iOCT acquisition, CAD processing, and visualization to enable plaque characterization and to assess vulnerability.

Public Health Relevance

Our interdisciplinary team will develop methods for improved detection and staging of blood vessel disease. Intravascular optical coherence tomography (iOCT) will be used to obtain very high resolution, microscopic images of the vessel wall. We will assess the ability of this technology and associated software to determine the type of plaque in the lesion and its vulnerability to rupture, a potentially life threatening event.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Exploratory/Developmental Grants (R21)
Project #
5R21HL108263-02
Application #
8246992
Study Section
Special Emphasis Panel (ZRG1-SBIB-J (80))
Program Officer
Fleg, Jerome
Project Start
2011-04-01
Project End
2014-02-28
Budget Start
2012-03-01
Budget End
2014-02-28
Support Year
2
Fiscal Year
2012
Total Cost
$194,240
Indirect Cost
$69,240
Name
Case Western Reserve University
Department
Biomedical Engineering
Type
Schools of Engineering
DUNS #
077758407
City
Cleveland
State
OH
Country
United States
Zip Code
44106
Prabhu, David; Mehanna, Emile; Gargesha, Madhusudhana et al. (2016) 3D registration of intravascular optical coherence tomography and cryo-image volumes for microscopic-resolution validation. Proc SPIE Int Soc Opt Eng 9788:
Shalev, Ronny; Gargesha, Madhusudhana; Prabhu, David et al. (2016) Processing to determine optical parameters of atherosclerotic disease from phantom and clinical intravascular optical coherence tomography three-dimensional pullbacks. J Med Imaging (Bellingham) 3:024501
Prabhu, David; Mehanna, Emile; Gargesha, Madhusudhana et al. (2016) Three-dimensional registration of intravascular optical coherence tomography and cryo-image volumes for microscopic-resolution validation. J Med Imaging (Bellingham) 3:026004
Gargesha, Madhusudhana; Shalev, Ronny; Prabhu, David et al. (2015) Parameter estimation of atherosclerotic tissue optical properties from three-dimensional intravascular optical coherence tomography. J Med Imaging (Bellingham) 2:016001
Galon, Micheli Zanotti; Wang, Zhao; Bezerra, Hiram G et al. (2015) Differences determined by optical coherence tomography volumetric analysis in non-culprit lesion morphology and inflammation in ST-segment elevation myocardial infarction and stable angina pectoris patients. Catheter Cardiovasc Interv 85:E108-15
Wang, Zhao; Jenkins, Michael; Linderman, George et al. (2015) 3-D Stent Detection in Intravascular OCT Using a Bayesian Network and Graph Search. IEEE Trans Med Imaging :
Faramarzalian, Ali; Prabhu, David; Abdul-Aziz, Ahmad et al. (2014) Ex vivo cryoimaging for plaque characterization. JACC Cardiovasc Imaging 7:430-2
Mehanna, Emile; Bezerra, Hiram G; Prabhu, David et al. (2013) Volumetric characterization of human coronary calcification by frequency-domain optical coherence tomography. Circ J 77:2334-40
Powell, K A; Wilson, D (2012) 3-dimensional imaging modalities for phenotyping genetically engineered mice. Vet Pathol 49:106-15
Wang, Zhao; Chamie, Daniel; Bezerra, Hiram G et al. (2012) Volumetric quantification of fibrous caps using intravascular optical coherence tomography. Biomed Opt Express 3:1413-26

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