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Proceedings Paper

Identification of vessel wall anomalies in thoracic aortic aneurysms through optical coherence tomography and gradient-based strategies
Author(s): Alma Eguizabal; Eusebio Real; Alejandro Pontón; Marta Calvo Diez; J. Fernando Val-Bernal; Marta Mayorga; José M. Revuelta; José M. López-Higuera; Olga M. Conde
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Paper Abstract

Optical Coherence Tomography is a natural candidate for imaging biological structures just under tissue surface. Human thoracic aorta from aneurysms reveal elastin disorders and smooth muscle cell alterations when visualizing the media layer of the aortic wall, which is only some tens of microns in depth from surface. The resulting images require a suitable processing to enhance interesting disorder features and to use them as indicators for wall degradation, converting OCT into a hallmark for diagnosis of risk of aneurysm under intraoperative conditions. This work proposes gradient-based digital image processing approaches to conclude this risk. These techniques are believed to be useful in these applications as aortic wall disorders directly affect the refractive index of the tissue, having an effect on the gradient of the tissue reflectivity that conform the OCT image. Preliminary results show that the direction of the gradient contains information to estimate the tissue abnormality score. The detection of the edges of the OCT image is performed using the Canny algorithm. The edges delineate tissue disorders in the region of interest and isolate the abnormalities. These edges can be quantified to estimate a degradation score. Furthermore, the direction of the gradient seems to be a promising enhancement technique, as it detects areas of homogeneity in the region of interest. Automatic results from gradient-based strategies are finally compared to the histopathological global aortic score, which accounts for each risk factor presence and seriousness.

Paper Details

Date Published: 8 May 2014
PDF: 8 pages
Proc. SPIE 9129, Biophotonics: Photonic Solutions for Better Health Care IV, 912943 (8 May 2014); doi: 10.1117/12.2051397
Show Author Affiliations
Alma Eguizabal, Univ. Paderborn (Germany)
Eusebio Real, Univ. de Cantabria (Spain)
Alejandro Pontón, Univ. HospitalMarqués de Valdecilla (Spain)
Marta Calvo Diez, Univ. Hospital Marques de Valdecilla (Spain)
J. Fernando Val-Bernal, Univ. Hospital Marques de Valdecilla (Spain)
Marta Mayorga, Univ. Hospital Marques de Valdecilla (Spain)
José M. Revuelta, Univ. Hospital Marques de Valdecilla (Spain)
José M. López-Higuera, Univ. de Cantabria (Spain)
Olga M. Conde, Univ. de Cantabria (Spain)

Published in SPIE Proceedings Vol. 9129:
Biophotonics: Photonic Solutions for Better Health Care IV
Jürgen Popp; Valery V. Tuchin; Dennis L. Matthews; Francesco Saverio Pavone; Paul Garside, Editor(s)

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