Open AccessAnalysis of image formation in optical coherence elastography using a multiphysics approach
Author(s) -
Lixin Chin,
Andrea Curatolo,
Brendan F. Kennedy,
Barry Doyle,
Peter Munro,
Robert A. McLaughlin,
David D. Sampson
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.5.002913
Subject(s) - multiphysics , decorrelation , optical coherence tomography , elastography , displacement (psychology) , coherence (philosophical gambling strategy) , sensitivity (control systems) , optics , acoustics , noise (video) , computer science , materials science , finite element method , physics , artificial intelligence , computer vision , image (mathematics) , ultrasound , electronic engineering , psychology , psychotherapist , quantum mechanics , thermodynamics , engineering
IMAGE FORMATION IN OPTICAL COHERENCE ELASTOGRAPHY (OCE) RESULTS FROM A COMBINATION OF TWO PROCESSES: the mechanical deformation imparted to the sample and the detection of the resulting displacement using optical coherence tomography (OCT). We present a multiphysics model of these processes, validated by simulating strain elastograms acquired using phase-sensitive compression OCE, and demonstrating close correspondence with experimental results. Using the model, we present evidence that the approximation commonly used to infer sample displacement in phase-sensitive OCE is invalidated for smaller deformations than has been previously considered, significantly affecting the measurement precision, as quantified by the displacement sensitivity and the elastogram signal-to-noise ratio. We show how the precision of OCE is affected not only by OCT shot-noise, as is usually considered, but additionally by phase decorrelation due to the sample deformation. This multiphysics model provides a general framework that could be used to compare and contrast different OCE techniques.