Detection of an object inside a phantom tissue using a spatial filter

Dawn V. Stephens; Frank K. Tittel; Lihong V. Wang; Andreas H. Hielscher; Steven L. Jacques

doi:10.1117/12.175994

19 May 1994 Detection of an object inside a phantom tissue using a spatial filter

Dawn V. Stephens, Frank K. Tittel, Lihong V. Wang, Andreas H. Hielscher, Steven L. Jacques

Proceedings Volume 2135, Advances in Laser and Light Spectroscopy to Diagnose Cancer and Other Diseases; (1994) https://doi.org/10.1117/12.175994
Event: OE/LASE '94, 1994, Los Angeles, CA, United States

Abstract

We report the detection of an object inside a phantom tissue using a spatial filter and a 5-mW He-Ne Laser. The phantom tissue is composed of 8% scattering polystyrene spheres and is diluted to different concentrations in water. The solution is placed inside of a cuvette of length 5 cm and width 5 cm. The spatial filter, composed of a 4-cm plano-convex lens and a 10-micrometers pinhole, is able to extract ballistic and quasi-ballistic photons from the transmitted light. A photomultiplier tube is used for detection, and a lock-in amplifier is used to reduce the amount of noise in the signal. We are able to detect the object in a phantom tissue of 20 mean free paths [mfp] with a contrast of 99.0%. The contrast in a tissue with 30 mfp is 22.7%.

Citation Download Citation

Dawn V. Stephens, Frank K. Tittel, Lihong V. Wang, Andreas H. Hielscher, and Steven L. Jacques "Detection of an object inside a phantom tissue using a spatial filter", Proc. SPIE 2135, Advances in Laser and Light Spectroscopy to Diagnose Cancer and Other Diseases, (19 May 1994); https://doi.org/10.1117/12.175994

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