Literature DB >> 25836119

Full wave model of image formation in optical coherence tomography applicable to general samples.

Peter R T Munro, Andrea Curatolo, David D Sampson.   

Abstract

We demonstrate a highly realistic model of optical coherence tomography, based on an existing model of coherent optical microscopes, which employs a full wave description of light. A defining feature of the model is the decoupling of the key functions of an optical coherence tomography system: sample illumination, light-sample interaction and the collection of light scattered by the sample. We show how such a model can be implemented using the finite-difference time-domain method to model light propagation in general samples. The model employs vectorial focussing theory to represent the optical system and, thus, incorporates general illumination beam types and detection optics. To demonstrate its versatility, we model image formation of a stratified medium, a numerical point-spread function phantom and a numerical phantom, based upon a physical three-dimensional structured phantom employed in our laboratory. We show that simulated images compare well with experimental images of a three-dimensional structured phantom. Such a model provides a powerful means to advance all aspects of optical coherence tomography imaging.

Year:  2015        PMID: 25836119     DOI: 10.1364/OE.23.002541

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  7 in total

1.  Finite-difference time-domain analysis of increased penetration depth in optical coherence tomography by wavefront shaping.

Authors:  Jong Uk Kim; Hyun Choi; YongKeun Park; Jonghwa Shin
Journal:  Biomed Opt Express       Date:  2018-07-26       Impact factor: 3.732

2.  Simulating scan formation in multimodal optical coherence tomography: angular-spectrum formulation based on ballistic scattering of arbitrary-form beams.

Authors:  Alexander L Matveyev; Lev A Matveev; Aleksandr A Moiseev; Alexander A Sovetsky; Grigory V Gelikonov; Vladimir Y Zaitsev
Journal:  Biomed Opt Express       Date:  2021-11-16       Impact factor: 3.732

3.  Deep convolutional neural network-based scatterer density and resolution estimators in optical coherence tomography.

Authors:  Thitiya Seesan; Ibrahim Abd El-Sadek; Pradipta Mukherjee; Lida Zhu; Kensuke Oikawa; Arata Miyazawa; Larina Tzu-Wei Shen; Satoshi Matsusaka; Prathan Buranasiri; Shuichi Makita; Yoshiaki Yasuno
Journal:  Biomed Opt Express       Date:  2021-12-07       Impact factor: 3.732

4.  Approximate image synthesis in optical coherence tomography.

Authors:  Callum M Macdonald; Peter R T Munro
Journal:  Biomed Opt Express       Date:  2021-05-12       Impact factor: 3.732

5.  Realistic simulation and experiment reveals the importance of scatterer microstructure in optical coherence tomography image formation.

Authors:  Paweł Ossowski; Andrea Curatolo; David D Sampson; Peter R T Munro
Journal:  Biomed Opt Express       Date:  2018-06-13       Impact factor: 3.732

6.  Simulating optical coherence tomography for observing nerve activity: A finite difference time domain bi-dimensional model.

Authors:  Francesca Troiani; Konstantin Nikolic; Timothy G Constandinou
Journal:  PLoS One       Date:  2018-07-10       Impact factor: 3.240

Review 7.  Parametric imaging of attenuation by optical coherence tomography: review of models, methods, and clinical translation.

Authors:  Peijun Gong; Mitra Almasian; Gijs van Soest; Daniel de Bruin; Ton van Leeuwen; David Sampson; Dirk Faber
Journal:  J Biomed Opt       Date:  2020-04       Impact factor: 3.170

  7 in total

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