Literature DB >> 27139855

Importance sampling-based Monte Carlo simulation of time-domain optical coherence tomography with embedded objects.

Vijitha Periyasamy, Manojit Pramanik.   

Abstract

Monte Carlo simulation for light propagation in biological tissue is widely used to study light-tissue interaction. Simulation for optical coherence tomography (OCT) studies requires handling of embedded objects of various shapes. In this work, time-domain OCT simulations for multilayered tissue with embedded objects (such as sphere, cylinder, ellipsoid, and cuboid) was done. Improved importance sampling (IS) was implemented for the proposed OCT simulation for faster speed. At first, IS was validated against standard and angular biased Monte Carlo methods for OCT. Both class I and class II photons were in agreement in all the three methods. However, the IS method had more than tenfold improvement in terms of simulation time. Next, B-scan images were obtained for four types of embedded objects. All the four shapes are clearly visible from the B-scan OCT images. With the improved IS B-scan OCT images of embedded objects can be obtained with reasonable simulation time using a standard desktop computer. User-friendly, C-based, Monte Carlo simulation for tissue layers with embedded objects for OCT (MCEO-OCT) will be very useful for time-domain OCT simulations in many biological applications.

Entities:  

Year:  2016        PMID: 27139855     DOI: 10.1364/AO.55.002921

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  4 in total

1.  Light transport modeling in highly complex tissues using the implicit mesh-based Monte Carlo algorithm.

Authors:  Yaoshen Yuan; Shijie Yan; Qianqian Fang
Journal:  Biomed Opt Express       Date:  2020-12-08       Impact factor: 3.732

2.  Convolutional neural network-based common-path optical coherence tomography A-scan boundary-tracking training and validation using a parallel Monte Carlo synthetic dataset.

Authors:  Shoujing Guo; Jin U Kang
Journal:  Opt Express       Date:  2022-07-04       Impact factor: 3.833

3.  Accurate Monte Carlo simulation of frequency-domain optical coherence tomography.

Authors:  Yan Wang; Li Bai
Journal:  Int J Numer Method Biomed Eng       Date:  2019-03-07       Impact factor: 2.747

4.  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

  4 in total

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