Special Section on Optical Coherence Tomography and Interferometry: Advanced Engineering and Biomedical Applications

Automatic characterization of neointimal tissue by intravascular optical coherence tomography

[+] Author Affiliations
Giovanni J. Ughi, Tom Adriaenssens, Walter Desmet, Jan D’hooge

University Hospitals Leuven, Department of Cardiovascular Diseases, and KU Leuven, Department of Cardiovascular Sciences, Herestraat 49, B3000 Leuven, Belgium

Kristin Steigerwald, Michael Joner

Deutsches Herzzentrum and Technische Universität Munich, Medizinische Klinik, Klinikum rechts der Isar, Lazarettstraße 36, 80636 Munich, Germany

Giulio Guagliumi

Ospedale Papa Giovanni XXIII, Cardiovascular Department, Bergamo, Piazza OMS 1, 24100, Italy

J. Biomed. Opt. 19(2), 021104 (Jul 24, 2013). doi:10.1117/1.JBO.19.2.021104
History: Received April 15, 2013; Revised June 4, 2013; Accepted June 18, 2013
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Abstract.  Intravascular optical coherence tomography (IVOCT) is rapidly becoming the method of choice for assessing vessel healing after stent implantation due to its unique axial resolution <20μm. The amount of neointimal coverage is an important parameter. In addition, the characterization of neointimal tissue maturity is also of importance for an accurate analysis, especially in the case of drug-eluting and bioresorbable stent devices. Previous studies indicated that well-organized mature neointimal tissue appears as a high-intensity, smooth, and homogeneous region in IVOCT images, while lower-intensity signal areas might correspond to immature tissue mainly composed of acellular material. A new method for automatic neointimal tissue characterization, based on statistical texture analysis and a supervised classification technique, is presented. Algorithm training and validation were obtained through the use of 53 IVOCT images supported by histology data from atherosclerotic New Zealand White rabbits. A pixel-wise classification accuracy of 87% and a two-dimensional region–based analysis accuracy of 92% (with sensitivity and specificity of 91% and 93%, respectively) were found, suggesting that a reliable automatic characterization of neointimal tissue was achieved. This may potentially expand the clinical value of IVOCT in assessing the completeness of stent healing and speed up the current analysis methodologies (which are, due to their time- and energy-consuming character, not suitable for application in large clinical trials and clinical practice), potentially allowing for a wider use of IVOCT technology.

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© 2014 Society of Photo-Optical Instrumentation Engineers

Citation

Giovanni J. Ughi ; Kristin Steigerwald ; Tom Adriaenssens ; Walter Desmet ; Giulio Guagliumi, et al.
"Automatic characterization of neointimal tissue by intravascular optical coherence tomography", J. Biomed. Opt. 19(2), 021104 (Jul 24, 2013). ; http://dx.doi.org/10.1117/1.JBO.19.2.021104


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