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Journal of Biomedical Optics • Open Access

Texture analysis applied to second harmonic generation image data for ovarian cancer classification
Author(s): Bruce L. Wen; Molly A. Brewer; Oleg Nadiarnykh; James D. Hocker; Vikas Singh; Thomas R. Mackie; Paul J. Campagnola

Paper Abstract

Remodeling of the extracellular matrix has been implicated in ovarian cancer. To quantitate the remodeling, we implement a form of texture analysis to delineate the collagen fibrillar morphology observed in second harmonic generation microscopy images of human normal and high grade malignant ovarian tissues. In the learning stage, a dictionary of “textons”—frequently occurring texture features that are identified by measuring the image response to a filter bank of various shapes, sizes, and orientations—is created. By calculating a representative model based on the texton distribution for each tissue type using a training set of respective second harmonic generation images, we then perform classification between images of normal and high grade malignant ovarian tissues. By optimizing the number of textons and nearest neighbors, we achieved classification accuracy up to 97% based on the area under receiver operating characteristic curves (true positives versus false positives). The local analysis algorithm is a more general method to probe rapidly changing fibrillar morphologies than global analyses such as FFT. It is also more versatile than other texture approaches as the filter bank can be highly tailored to specific applications (e.g., different disease states) by creating customized libraries based on common image features.

Paper Details

Date Published: 11 September 2014
PDF: 6 pages
J. Biomed. Opt. 19(9) 096007 doi: 10.1117/1.JBO.19.9.096007
Published in: Journal of Biomedical Optics Volume 19, Issue 9
Show Author Affiliations
Bruce L. Wen, Univ. of Wisconsin-Madison (United States)
Morgridge Institute for Research (United States)
Molly A. Brewer, Univ. of Connecticut Health Ctr. (United States)
Oleg Nadiarnykh, Vrije Univ. Amsterdam (Netherlands)
James D. Hocker, Univ. of Wisconsin-Madison (United States)
Vikas Singh, Univ. of Wisconsin-Madison (United States)
Thomas R. Mackie, Univ. of Wisconsin-Madison (United States)
Morgridge Institute for Research (United States)
Paul J. Campagnola, Univ. of Wisconsin-Madison (United States)

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