Gradient-Based Quantitative Image Reconstruction in Ultrasound-Modulated Optical Tomography: First Harmonic Measurement Type in a Linearised Diffusion Formulation

Ultrasound-modulated optical tomography is an emerging biomedical imaging modality which uses the spatially localised acoustically-driven modulation of coherent light as a probe of the structure and optical properties of biological tissues. In this work we begin by providing an overview of forward m...

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Bibliographic Details
Published in:IEEE transactions on medical imaging Vol. 35; no. 2; pp. 456 - 467
Main Authors: Powell, Samuel, Arridge, Simon R., Leung, Terence S.
Format: Journal Article
Language:English
Published: United States IEEE 01.02.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Acousto-optic effects
Adaptive optics
Biomedical optical imaging
Correlation
Diffusion
Finite Element Analysis
gradient methods
Image Processing, Computer-Assisted - methods
Image reconstruction
inverse problems
Mathematical analysis
Mathematical models
Medical imaging
Models, Theoretical
Optical imaging
Optical properties
Optical scattering
Optical sensors
Optical variables measurement
Raster
Tomography
Tomography, Optical - methods
Ultrasonic imaging
Ultrasonography - methods
ultrasound-modulated optical tomography
ISSN:0278-0062, 1558-254X, 1558-254X
Online Access:Get full text
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Summary:Ultrasound-modulated optical tomography is an emerging biomedical imaging modality which uses the spatially localised acoustically-driven modulation of coherent light as a probe of the structure and optical properties of biological tissues. In this work we begin by providing an overview of forward modelling methods, before deriving a linearised diffusion-style model which calculates the first-harmonic modulated flux measured on the boundary of a given domain. We derive and examine the correlation measurement density functions of the model which describe the sensitivity of the modality to perturbations in the optical parameters of interest. Finally, we employ said functions in the development of an adjoint-assisted gradient based image reconstruction method, which ameliorates the computational burden and memory requirements of a traditional Newton-based optimisation approach. We validate our work by performing reconstructions of optical absorption and scattering in two- and three-dimensions using simulated measurements with 1% proportional Gaussian noise, and demonstrate the successful recovery of the parameters to within ±5% of their true values when the resolution of the ultrasound raster probing the domain is sufficient to delineate perturbing inclusions.
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ISSN:0278-0062
1558-254X
1558-254X
DOI:10.1109/TMI.2015.2478742