Research Papers

Computational methods for analysis of human breast tumor tissue in optical coherence tomography images

[+] Author Affiliations
Adam M. Zysk

University of Illinois at Urbana-Champaign, Department of Electrical and Computer Engineering, Beckman Institute for Advanced Science and Technology, 405 N. Mathews Ave., Urbana, Illinois 61801

Stephen A. Boppart

University of Illinois at Urbana-Champaign, Department of Electrical and Computer Engineering, Department of Bioengineering, Department of Internal Medicine, Beckman Institute for Advanced Science and Technology, 405 N. Mathews Ave., Urbana, Illinois 61801

J. Biomed. Opt. 11(5), 054015 (October 17, 2006). doi:10.1117/1.2358964
History: Received September 15, 2005; Revised June 07, 2006; Accepted June 20, 2006; Published October 17, 2006; Online October 17, 2006
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Optical coherence tomography (OCT) has been demonstrated as a promising means of identifying the boundaries between normal and diseased breast tissue. This capability has yielded promise for the development of OCT techniques for biopsy guidance, surgical margin assessment, and minimally invasive evaluation of disease states. We present methods for the assessment of human breast tissue based on spatial and Fourier-domain analysis. Derived from preliminary OCT data, these methods are aimed at the development of automated diagnostic tools that will aid in the translation of this technology into the clinical environment.

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© 2006 Society of Photo-Optical Instrumentation Engineers

Citation

Adam M. Zysk and Stephen A. Boppart
"Computational methods for analysis of human breast tumor tissue in optical coherence tomography images", J. Biomed. Opt. 11(5), 054015 (October 17, 2006). ; http://dx.doi.org/10.1117/1.2358964


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