Yao, Gang and Wang, Lihong V. (1999) Monte Carlo simulation of an optical coherence tomography signal in homogeneous turbid media. Physics in Medicine and Biology, 44 (9). pp. 2307-2320. ISSN 0031-9155. doi:10.1088/0031-9155/44/9/316. https://resolver.caltech.edu/CaltechAUTHORS:20170308-135750465
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Abstract
The Monte Carlo technique with angle biasing is used to simulate the optical coherence tomography (OCT) signal from homogeneous turbid media. The OCT signal is divided into two categories: one is from a target imaging layer in the medium (Class I); the other is from the rest of the medium (Class II). These two classes of signal are very different in their spatial distributions, angular distributions and the numbers of experienced scattering events. Multiply scattered light contributes to the Class I signal as well as the Class II signal. The average number of scattering events increases linearly with the probing depth. The Class II signal decays much more slowly than the Class I signal whose decay constant is close to the total attenuation coefficient of the turbid medium. The effect of the optical properties of the medium on the Class I signal decay is studied.
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| Additional Information: | © 1999 IOP Publishing Ltd. Received 12 February 1999, in final form 8 July 1999. This project was sponsored in part by the National Institutes of Health grants R29 CA68562 and R01 CA71980 and by the National Science Foundation grant BES-9734491. | |||||||||
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| Issue or Number: | 9 | |||||||||
| DOI: | 10.1088/0031-9155/44/9/316 | |||||||||
| Record Number: | CaltechAUTHORS:20170308-135750465 | |||||||||
| Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20170308-135750465 | |||||||||
| Official Citation: | Gang Yao and Lihong V Wang 1999 Phys. Med. Biol. 44 2307 | |||||||||
| Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | |||||||||
| ID Code: | 74916 | |||||||||
| Collection: | CaltechAUTHORS | |||||||||
| Deposited By: | Tony Diaz | |||||||||
| Deposited On: | 08 Mar 2017 22:05 | |||||||||
| Last Modified: | 12 Jul 2022 19:43 |
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