Open AccessMonte Carlo modeling of angiographic optical coherence tomography
Author(s) -
Alzbeta Elizabeth Hartinger,
Ahhyun S. Nam,
Isabel ChicoCalero,
Benjamin J. Vakoc
Publication year - 2014
Publication title -
biomedical optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.362
H-Index - 86
ISSN - 2156-7085
DOI - 10.1364/boe.5.004338
Subject(s) - computer science , optical coherence tomography , monte carlo method , decorrelation , algorithm , coherence (philosophical gambling strategy) , angiography , artificial intelligence , image processing , signal processing , tomography , medical imaging , computer vision , optics , radiology , image (mathematics) , medicine , physics , mathematics , telecommunications , radar , statistics , quantum mechanics
Optical coherence tomography (OCT) provides both structural and angiographic imaging modes. Because of its unique capabilities, OCT-based angiography has been increasingly adopted into small animal and human subject imaging. To support the development of the signal and image processing algorithms on which OCT-based angiography depends, we describe here a Monte Carlo-based model of the imaging approach. The model supports arbitrary three-dimensional vascular network geometries and incorporates methods to simulate OCT signal temporal decorrelation. With this model, it will be easier to compare the performance of existing and new angiographic signal processing algorithms, and to quantify the accuracy of vascular segmentation algorithms. The quantitative analysis of key algorithms within OCT-based angiography may, in turn, simplify the selection of algorithms in instrument design and accelerate the pace of new algorithm development.