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Monte Carlo simulationpredicts deep-seated photoacoustic effect in heterogeneous tissues
Yubin Liu; Zhen Yuan
2015
Conference NameIEEE Region 10 Conference
Source PublicationTENCON 2015 - 2015 IEEE REGION 10 CONFERENCE
Conference DateNOV 01-04, 2015
Conference PlaceMacao, PEOPLES R CHINA
Abstract

Monte Carlo (MC), is a more flexible yet rigorous approach, which is able to describe the photon migration in the biological tissue and determine the quantities of photons depicting the distribution of fluence rate within the illuminated tissue. In photoacoustic tomography, the photoacoustic signals are generated due to the light energy absorbed by absorbers in the tissue, in which the absorbed energy density is the product of absorption coefficient and optical fluence. As such it would be essential to study how deep the light can penetrate the tissues and how the deposit energy retention in the absorbers determines the deep-seated photoacoustic effect in the tissue. In this paper, we will use MC to conduct simulation tests to systematically explore the deep-seated photoacoustic effect at the different wavelength of illumination, different depths and different sizes as well as different absorption and scattering contrasts of absorbers.

KeywordMonte Carlo Photoacoustic Tomography Deepseated Absorber Absorbed Energy Density
Indexed ByCPCI
Language英语
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000380489200196
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Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionFaculty of Health Sciences
INSTITUTE OF COLLABORATIVE INNOVATION
AffiliationUniversity of Macau, Bioimaging Core, Faculty of Health Sciences, Macau SAR, China
First Author AffilicationFaculty of Health Sciences
Recommended Citation
GB/T 7714
Yubin Liu,Zhen Yuan. Monte Carlo simulationpredicts deep-seated photoacoustic effect in heterogeneous tissues[C],2015.
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