A model of optical coherence tomography image formation based on Maxwell's equations

Research output: Chapter in Book/Conference paperConference paper

Abstract

The majority of existing models of image formation in optical coherence tomography make simplifying assumptions. For example, those based on the extended Huygens-Fresnel formalism make the first-order Born approximation and consider ensemble average, rather than deterministic, scatterer distributions. Monte Carlo solutions of the radiative transport equation also consider ensemble average scatterer distributions and do not explicitly model interferometric detection. Although such models have been successful in answering many questions, there is a growing number of applications where the ability to predict image formation based upon a full wave treatment is needed, including, for example, image formation in turbid tissue. Such a rigorous model of image formation, based upon three-dimensional solutions of Maxwell's equations offers a number of tantalising opportunities. For example, shedding light on image formation for features near or below the resolution of an optical coherence tomography system, allowing for full wave inverse scattering methods to be developed and providing gold standard verification of quantitative imaging techniques. We have developed the first such model and will present simulated B-scans and C-scans, the principal features of our model, and comparisons of experimental and simulated image formation for phantoms. 

Original languageEnglish
Title of host publication2016 IEEE Photonics Conference (IPC 2016)
Place of PublicationNew York
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages134-135
Number of pages2
ISBN (Electronic)9781509019069
ISBN (Print)9781509019076
DOIs
Publication statusPublished - 2016
Event29th IEEE Photonics Conference, IPC 2016 - Waikoloa, United States
Duration: 2 Oct 20166 Oct 2016

Conference

Conference29th IEEE Photonics Conference, IPC 2016
CountryUnited States
CityWaikoloa
Period2/10/166/10/16

Fingerprint

Optical tomography
Maxwell equations
Maxwell equation
Image processing
tomography
Born approximation
Radiative transfer
inverse scattering
wave scattering
scattering
imaging techniques
Scattering
Tissue
formalism
Imaging techniques

Cite this

Munro, P. R. T., Curatolo, A., & Sampson, D. D. (2016). A model of optical coherence tomography image formation based on Maxwell's equations. In 2016 IEEE Photonics Conference (IPC 2016) (pp. 134-135). [7831012] New York: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IPCon.2016.7831012
Munro, Peter R T ; Curatolo, Andrea ; Sampson, David D. / A model of optical coherence tomography image formation based on Maxwell's equations. 2016 IEEE Photonics Conference (IPC 2016). New York : IEEE, Institute of Electrical and Electronics Engineers, 2016. pp. 134-135
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Munro, PRT, Curatolo, A & Sampson, DD 2016, A model of optical coherence tomography image formation based on Maxwell's equations. in 2016 IEEE Photonics Conference (IPC 2016)., 7831012, IEEE, Institute of Electrical and Electronics Engineers, New York, pp. 134-135, 29th IEEE Photonics Conference, IPC 2016, Waikoloa, United States, 2/10/16. https://doi.org/10.1109/IPCon.2016.7831012

A model of optical coherence tomography image formation based on Maxwell's equations. / Munro, Peter R T; Curatolo, Andrea; Sampson, David D.

2016 IEEE Photonics Conference (IPC 2016). New York : IEEE, Institute of Electrical and Electronics Engineers, 2016. p. 134-135 7831012.

Research output: Chapter in Book/Conference paperConference paper

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Munro PRT, Curatolo A, Sampson DD. A model of optical coherence tomography image formation based on Maxwell's equations. In 2016 IEEE Photonics Conference (IPC 2016). New York: IEEE, Institute of Electrical and Electronics Engineers. 2016. p. 134-135. 7831012 https://doi.org/10.1109/IPCon.2016.7831012