0
Research Papers

Near real-time classification of optical coherence tomography data using principal components fed linear discriminant analysis

[+] Author Affiliations
Florian Bazant-Hegemark, Nicholas Stone

Cranfield University at Silsoe, Cranfield Health, Bedfordshire MK45 4DT, United Kingdom and Gloucestershire Royal Hospital, Biophotonics Research Group, Great Western Road, Gloucester GL1 3NN, United Kingdom

J. Biomed. Opt. 13(3), 034002 (July 05, 2007January 08, 2008January 15, 2008May 21, 2008). doi:10.1117/1.2931079
History: Received July 05, 2007; Revised January 08, 2008; Accepted January 15, 2008; Published May 21, 2008
Text Size: A A A

An optical coherence tomography (OCT) prediction algorithm is designed and tested on a data set of sample images (taken from vegetables and porcine tissues) to demonstrate proof of concept. Preprocessing and classification of data are fully automated, at a rate of 60,000A-scansmin on a standard computer and can be considered to deliver in near real-time. A data set consisting of nine groups was classified correctly in 82% of cases after cross-validation. Sets of fewer groups reach higher rates. The algorithm is able to distinguish groups with strong visual similarity among several groups of varying resemblance. Surface recognition and normalizing to the surface are essential for this approach. The mean divided by the standard deviation is a suitable descriptor for reducing a set of surface normalized A-scans. The method enables grouping of separate A-scans and is therefore straightforward to apply on 3-D data. OCT data can reliably be classified using principal component analysis combined with linear discriminant analysis. It remains to be shown whether this algorithm fails in the clinical setting, where interpatient variation can be greater than the deviations that are investigated as a disease marker.

Figures in this Article
© 2008 Society of Photo-Optical Instrumentation Engineers

Citation

Florian Bazant-Hegemark and Nicholas Stone
"Near real-time classification of optical coherence tomography data using principal components fed linear discriminant analysis", J. Biomed. Opt. 13(3), 034002 (July 05, 2007January 08, 2008January 15, 2008May 21, 2008). ; http://dx.doi.org/10.1117/1.2931079


Access This Article
Sign In to Access Full Content
Please Wait... Processing your request... Please Wait.
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
 
Your Session has timed out. Please sign back in to continue.
Sign In to Access Full Content

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

PubMed Articles
Advertisement

Buy this article ($18 for members, $25 for non-members).
Sign In