Signal and noise in ultrasound-modulated optical tomography: a Monte Carlo study

Gang Yao; Lihong V. Wang

doi:10.1117/12.532847

12 July 2004 Signal and noise in ultrasound-modulated optical tomography: a Monte Carlo study

Gang Yao, Lihong V. Wang

Proceedings Volume 5320, Photons Plus Ultrasound: Imaging and Sensing; (2004) https://doi.org/10.1117/12.532847
Event: Biomedical Optics 2004, 2004, San Jose, CA, United States

Abstract

Ultrasound-modulated optical tomography in inhomogeneous scattering media was studied using a Monte Carlo modeling technique. The contributions from two different modulation mechanisms were included in the simulation. The differences between embedded absorption and scattering objects in the ultrasound-modulated optical signals were compared. The effects of neighboring inhomogeneity and background optical properties on the ultrasound-modulated optical signals were also studied. We analyzed the signal-to-noise ratio in the experiment and found that the major noise source is the speckle noise caused by small particle movement within the biological tissue sample. This effect was studied by incorporating a Brownian motion factor in the simulation.

Citation Download Citation

Gang Yao and Lihong V. Wang "Signal and noise in ultrasound-modulated optical tomography: a Monte Carlo study", Proc. SPIE 5320, Photons Plus Ultrasound: Imaging and Sensing, (12 July 2004); https://doi.org/10.1117/12.532847

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available