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CONTENTS

Processing algorithms for tracking speckle shifts in optical elastography of biological tissues

[+] Author Affiliations
Donald D. Duncan

The Johns Hopkins University, Applied Physics Laboratory, 11100 Johns Hopkins Road, Laurel, Maryland 20723-6099

Sean J. Kirkpatrick

Oregon Medical Laser Center, Providence St. Vincent Medical Center, Oregon Graduate Institute of Science and Technology, 9205 SW Barnes Rd., Portland, Oregon?97225

J. Biomed. Opt. 6(4), 418-426 (Oct 01, 2001). doi:10.1117/1.1412224
History: Received Aug. 14, 2000; Revised Mar. 1, 2001; Accepted Apr. 17, 2001
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Parametric and nonparametric data processing schemes for analyzing translating laser speckle data used to investigate the mechanical behavior of biological tissues are examined. Cross-correlation, 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. © 2001 Society of Photo-Optical Instrumentation Engineers.

Figures in this Article
© 2001 Society of Photo-Optical Instrumentation Engineers

Topics

Speckle ; Tissues

Citation

Donald D. Duncan and Sean J. Kirkpatrick
"Processing algorithms for tracking speckle shifts in optical elastography of biological tissues", J. Biomed. Opt. 6(4), 418-426 (Oct 01, 2001). ; http://dx.doi.org/10.1117/1.1412224


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