Sponsor
This work was funded through Research Grant Nos. BES- 9807497 and BES-0086719 from the National Science Foundation.
Published In
Journal of Biomedical Optics
Document Type
Article
Publication Date
1-1-2001
Subjects
Laser speckle, Maximum entropy method
Abstract
Parametric and nonparametric data processing schemes for analyzing translating laser speckle data used to investigate the mechanical behavior of biological tissues are examined. Crosscorrelation, minimum mean square estimator, maximum likelihood, and maximum entropy approaches are discussed and compared on speckle data derived from cortical bone samples undergoing dynamic loading. While it was not the purpose of this paper to demonstrate that one processing technique is superior to another, maximum likelihood and maximum entropy approaches are shown to be particularly useful when the observed speckle motion is small.
DOI
10.1117/1.1412224
Persistent Identifier
http://archives.pdx.edu/ds/psu/7290
Citation Details
Donald D. Duncan and Sean J. Kirkpatrick, "Processing algorithms for tracking speckle shifts in optical elastography of biological tissues", J. Biomed. Opt. 6, 418 (2001); http://dx.doi.org/10.1117/1.1412224
Description
Copyright 2001 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.