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© Research
Publication : IEEE 13th International Symposium on Biomedical Imaging, ISBI

Sparsity-based simplification of spectral-domain optical coherence tomography images of cardiac samples

Scientific Fields
Diseases
Organisms
Applications
Technique

Published in IEEE 13th International Symposium on Biomedical Imaging, ISBI - 14 Apr 2016

William Meiniel, Yu Gan, Christine P. Hendon, Jean-Christophe Olivo-Marin, Andrew Laine, Elsa D. Angelini

10.1109/ISBI.2016.7493286

We propose a sparsity-based simplification method for Spectral Domain Optical Coherence Tomography (SD-OCT) images of cardiac samples, displaying layers of tissue. Inspired by the Compressed Sensing (CS) theory, we implement a dedicated sparse sampling of SD-OCT samples achieving image simplification suited for layers segmentation, which is the target application. We validate a straightforward segmentation approach on the variance map of the simplified images against manual delineation on raw SD-OCT images of in-vitro biological samples from four human hearts. We also correlate average layer thickness with histopathological measures. Finally, we compare our simplified images to state of the art denoising approaches.

http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=7493286&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D7493286