Research Papers: Imaging

Rapid quantification of pixel-wise fiber orientation data in micrographs

[+] Author Affiliations
Kyle P. Quinn, Irene Georgakoudi

Tufts University, Science & Technology Center, Department of Biomedical Engineering, 4 Colby Street, Medford, Massachusetts 02155

J. Biomed. Opt. 18(4), 046003 (Apr 01, 2013). doi:10.1117/1.JBO.18.4.046003
History: Received December 18, 2012; Revised March 14, 2013; Accepted March 19, 2013
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Abstract.  Defining fiber orientation at each pixel within a medical image has traditionally been computationally intensive and prone to systematic errors. A weighted orientation vector summation algorithm capable of detecting fiber orientation simultaneously at each pixel within an image is presented. As a result, pixel-specific fiber orientation information with 2 deg to 3 deg accuracy can be determined within seconds, enabling the practical use of pixel-wise orientation data for characterizing structural anisotropy. This analysis technique has applicability and potential diagnostic utility for a variety of modalities, including second harmonic generation, scanning electron microscopy and immunohistochemical imaging is demonstrated.

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© 2013 Society of Photo-Optical Instrumentation Engineers

Citation

Kyle P. Quinn and Irene Georgakoudi
"Rapid quantification of pixel-wise fiber orientation data in micrographs", J. Biomed. Opt. 18(4), 046003 (Apr 01, 2013). ; http://dx.doi.org/10.1117/1.JBO.18.4.046003


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