An effective forward model based on accelerated Monte Carlo method for diffusion optical tomography imaging systems

Shih Yang Wu; Wai-Chi  Fang

doi:10.1109/BioCAS.2012.6418442

An effective forward model based on accelerated Monte Carlo method for diffusion optical tomography imaging systems

Shih Yang Wu^*, Wai-Chi Fang

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

In noninvasive tomography, subcutaneous abnormal tissue can change the absorption coefficient of light. This paper explores diffusion optical tomography. It uses the amount of incident light diffusing to the surface of the skin to detect light intensity at a specific position. The specific reconstruction algorithm is used to reconstruct the distribution of abnormal tissue in detection areas. This paper proposes a forward model for diffusion optical tomography. Based on an accelerated Monte Carlo method, the forward model saves simulation time when detecting light propagation in subcutaneous tissue. This technique is used to examine the reconstruction algorithm to evaluate abnormal tissue distribution accuracy.

Original language	English
Title of host publication	2012 IEEE Biomedical Circuits and Systems Conference
Subtitle of host publication	Intelligent Biomedical Electronics and Systems for Better Life and Better Environment, BioCAS 2012 - Conference Publications
Pages	280-283
Number of pages	4
DOIs	https://doi.org/10.1109/BioCAS.2012.6418442
State	Published - 1 Dec 2012
Event	2012 IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Electronics and Systems for Better Life and Better Environment, BioCAS 2012 - Hsinchu, Taiwan Duration: 28 Nov 2012 → 30 Nov 2012

Publication series

Name	2012 IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Electronics and Systems for Better Life and Better Environment, BioCAS 2012 - Conference Publications

Conference

Conference	2012 IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Electronics and Systems for Better Life and Better Environment, BioCAS 2012
Country/Territory	Taiwan
City	Hsinchu
Period	28/11/12 → 30/11/12

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10.1109/BioCAS.2012.6418442

Cite this

Wu, S. Y., & Fang, W-C. (2012). An effective forward model based on accelerated Monte Carlo method for diffusion optical tomography imaging systems. In 2012 IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Electronics and Systems for Better Life and Better Environment, BioCAS 2012 - Conference Publications (pp. 280-283). Article 6418442 (2012 IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Electronics and Systems for Better Life and Better Environment, BioCAS 2012 - Conference Publications). https://doi.org/10.1109/BioCAS.2012.6418442

Wu, Shih Yang ; Fang, Wai-Chi . / An effective forward model based on accelerated Monte Carlo method for diffusion optical tomography imaging systems. 2012 IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Electronics and Systems for Better Life and Better Environment, BioCAS 2012 - Conference Publications. 2012. pp. 280-283 (2012 IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Electronics and Systems for Better Life and Better Environment, BioCAS 2012 - Conference Publications).

@inproceedings{8840f476cc8e47948bda4a8f3f499d53,

title = "An effective forward model based on accelerated Monte Carlo method for diffusion optical tomography imaging systems",

abstract = "In noninvasive tomography, subcutaneous abnormal tissue can change the absorption coefficient of light. This paper explores diffusion optical tomography. It uses the amount of incident light diffusing to the surface of the skin to detect light intensity at a specific position. The specific reconstruction algorithm is used to reconstruct the distribution of abnormal tissue in detection areas. This paper proposes a forward model for diffusion optical tomography. Based on an accelerated Monte Carlo method, the forward model saves simulation time when detecting light propagation in subcutaneous tissue. This technique is used to examine the reconstruction algorithm to evaluate abnormal tissue distribution accuracy.",

author = "Wu, {Shih Yang} and Wai-Chi Fang",

year = "2012",

month = dec,

day = "1",

doi = "10.1109/BioCAS.2012.6418442",

language = "English",

isbn = "9781467322935",

series = "2012 IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Electronics and Systems for Better Life and Better Environment, BioCAS 2012 - Conference Publications",

pages = "280--283",

booktitle = "2012 IEEE Biomedical Circuits and Systems Conference",

note = "2012 IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Electronics and Systems for Better Life and Better Environment, BioCAS 2012 ; Conference date: 28-11-2012 Through 30-11-2012",

}

Wu, SY & Fang, W-C 2012, An effective forward model based on accelerated Monte Carlo method for diffusion optical tomography imaging systems. in 2012 IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Electronics and Systems for Better Life and Better Environment, BioCAS 2012 - Conference Publications., 6418442, 2012 IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Electronics and Systems for Better Life and Better Environment, BioCAS 2012 - Conference Publications, pp. 280-283, 2012 IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Electronics and Systems for Better Life and Better Environment, BioCAS 2012, Hsinchu, Taiwan, 28/11/12. https://doi.org/10.1109/BioCAS.2012.6418442

An effective forward model based on accelerated Monte Carlo method for diffusion optical tomography imaging systems. / Wu, Shih Yang; Fang, Wai-Chi .
2012 IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Electronics and Systems for Better Life and Better Environment, BioCAS 2012 - Conference Publications. 2012. p. 280-283 6418442 (2012 IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Electronics and Systems for Better Life and Better Environment, BioCAS 2012 - Conference Publications).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Fang, Wai-Chi

PY - 2012/12/1

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N2 - In noninvasive tomography, subcutaneous abnormal tissue can change the absorption coefficient of light. This paper explores diffusion optical tomography. It uses the amount of incident light diffusing to the surface of the skin to detect light intensity at a specific position. The specific reconstruction algorithm is used to reconstruct the distribution of abnormal tissue in detection areas. This paper proposes a forward model for diffusion optical tomography. Based on an accelerated Monte Carlo method, the forward model saves simulation time when detecting light propagation in subcutaneous tissue. This technique is used to examine the reconstruction algorithm to evaluate abnormal tissue distribution accuracy.

AB - In noninvasive tomography, subcutaneous abnormal tissue can change the absorption coefficient of light. This paper explores diffusion optical tomography. It uses the amount of incident light diffusing to the surface of the skin to detect light intensity at a specific position. The specific reconstruction algorithm is used to reconstruct the distribution of abnormal tissue in detection areas. This paper proposes a forward model for diffusion optical tomography. Based on an accelerated Monte Carlo method, the forward model saves simulation time when detecting light propagation in subcutaneous tissue. This technique is used to examine the reconstruction algorithm to evaluate abnormal tissue distribution accuracy.

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M3 - Conference contribution

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SN - 9781467322935

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BT - 2012 IEEE Biomedical Circuits and Systems Conference

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Wu SY, Fang W-C. An effective forward model based on accelerated Monte Carlo method for diffusion optical tomography imaging systems. In 2012 IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Electronics and Systems for Better Life and Better Environment, BioCAS 2012 - Conference Publications. 2012. p. 280-283. 6418442. (2012 IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Electronics and Systems for Better Life and Better Environment, BioCAS 2012 - Conference Publications). doi: 10.1109/BioCAS.2012.6418442

An effective forward model based on accelerated Monte Carlo method for diffusion optical tomography imaging systems

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