Open AccessIntegral-geometry characterization of photobiomodulation effects on retinal vessel morphology
Author(s) -
Maysa Santos Barbosa,
Riccardo Natoli,
Krisztina Valter,
Jan Provis,
Ted Maddess
Publication year - 2014
Publication title -
biomedical optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.362
H-Index - 86
ISSN - 2156-7085
DOI - 10.1364/boe.5.002317
Subject(s) - dilation (metric space) , segmentation , computer vision , computer science , artificial intelligence , mathematical morphology , characterization (materials science) , optics , scale (ratio) , geometry , image processing , mathematics , physics , image (mathematics) , quantum mechanics
The morphological characterization of quasi-planar structures represented by gray-scale images is challenging when object identification is sub-optimal due to registration artifacts. We propose two alternative procedures that enhances object identification in the integral-geometry morphological image analysis (MIA) framework. The first variant streamlines the framework by introducing an active contours segmentation process whose time step is recycled as a multi-scale parameter. In the second variant, we used the refined object identification produced in the first variant to perform the standard MIA with exact dilation radius as multi-scale parameter. Using this enhanced MIA we quantify the extent of vaso-obliteration in oxygen-induced retinopathic vascular growth, the preventative effect (by photobiomodulation) of exposure during tissue development to near-infrared light (NIR, 670 nm), and the lack of adverse effects due to exposure to NIR light.