Imaging through diffusive layers using speckle pattern fractal analysis and application to embedded object detection in tissues

George Tremberger Jr.; A. Flamholz; E. Cheung; R. Sullivan; R. Subramaniam; P. Schneider; G. Brathwaite; J. Boteju; P. Marchese; D. Lieberman; T. Cheung; Todd Holden

doi:10.1117/12.732302

15 October 2007 Imaging through diffusive layers using speckle pattern fractal analysis and application to embedded object detection in tissues

George Tremberger Jr., A. Flamholz, E. Cheung, R. Sullivan, R. Subramaniam, P. Schneider, G. Brathwaite, J. Boteju, P. Marchese, D. Lieberman, T. Cheung, Todd Holden

Author Affiliations +

Proceedings Volume 6771, Advanced Photon Counting Techniques II; 677117 (2007) https://doi.org/10.1117/12.732302
Event: Optics East, 2007, Boston, MA, United States

Abstract

The absorption effect of the back surface boundary of a diffuse layer was studied via laser generated reflection speckle pattern. The spatial speckle intensity provided by a laser beam was measured. The speckle data were analyzed in terms of fractal dimension (computed by NIH ImageJ software via the box counting fractal method) and weak localization theory based on Mie scattering. Bar code imaging was modeled as binary absorption contrast and scanning resolution in millimeter range was achieved for diffusive layers up to thirty transport mean free path thick. Samples included alumina, porous glass and chicken tissue. Computer simulation was used to study the effect of speckle spatial distribution and observed fractal dimension differences were ascribed to variance controlled speckle sizes. Fractal dimension suppressions were observed in samples that had thickness dimensions around ten transport mean free path. Computer simulation suggested a maximum fractal dimension of about 2 and that subtracting information could lower fractal dimension. The fractal dimension was shown to be sensitive to sample thickness up to about fifteen transport mean free paths, and embedded objects which modified 20% or more of the effective thickness was shown to be detectable. The box counting fractal method was supplemented with the Higuchi data series fractal method and application to architectural distortion mammograms was demonstrated. The use of fractals in diffusive analysis would provide a simple language for a dialog between optics experts and mammography radiologists, facilitating the applications of laser diagnostics in tissues.

Citation Download Citation

George Tremberger Jr., A. Flamholz, E. Cheung, R. Sullivan, R. Subramaniam, P. Schneider, G. Brathwaite, J. Boteju, P. Marchese, D. Lieberman, T. Cheung, and Todd Holden "Imaging through diffusive layers using speckle pattern fractal analysis and application to embedded object detection in tissues", Proc. SPIE 6771, Advanced Photon Counting Techniques II, 677117 (15 October 2007); https://doi.org/10.1117/12.732302

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Fractal analysis

Speckle pattern

Speckle

Computer simulations

Mammography

Tissues

Binary data

Show All Keywords

Keywords/Phrases

Search In:

Publication Years