Special Section on Optical Medical Imaging Standards

Learning curve and interobserver variance in quantification of the optical coherence tomography attenuation coefficient

[+] Author Affiliations
Ronni Wessels

Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Department of Surgery, P.O. Box 90203, 1006 BE Amsterdam, The Netherlands

Daniel M. de Bruin

Academic Medical Center-University of Amsterdam, Department of Biomedical Engineering and Physics, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands

Academic Medical Center-University of Amsterdam, Department of Urology, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands

Dirk J. Faber, Ton G. van Leeuwen

Academic Medical Center-University of Amsterdam, Department of Biomedical Engineering and Physics, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands

Joyce Sanders

Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Department of Pathology, P.O. Box 90203, 1006 BE Amsterdam, The Netherlands

Andrew D. Vincent

Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Department of Biometrics, P.O. Box 90203, 1006 BE Amsterdam, The Netherlands

Marc van Beurden

Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Department of Gynaecology, P.O. Box 90203, 1006 BE Amsterdam, The Netherlands

Theo J. M. Ruers

Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Department of Surgery, P.O. Box 90203, 1006 BE Amsterdam, The Netherlands

University of Twente, MIRA Institute, Nanobiophysics Group, Enschede, The Netherlands

J. Biomed. Opt. 20(12), 121313 (Dec 14, 2015). doi:10.1117/1.JBO.20.12.121313
History: Received January 18, 2015; Accepted November 4, 2015
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Abstract.  The learning curve and interobserver variance of attenuation coefficient (μOCT) determination from optical coherence tomography (OCT) images were quantified. The μOCT of normal and diseased vulvar tissues was determined at five time points by three novice students and three OCT experts who reached consensus for reference. Students received feedback between time points. Eventually, variance in μOCT was smaller in images of diseased tissue than in images of normal vulvar tissue. The difference between the consensus and student μOCT values was larger for smaller values of μOCT. We conclude that routine μOCT determination for tissue classification does not require extensive training.

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© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Ronni Wessels ; Daniel M. de Bruin ; Dirk J. Faber ; Joyce Sanders ; Andrew D. Vincent, et al.
"Learning curve and interobserver variance in quantification of the optical coherence tomography attenuation coefficient", J. Biomed. Opt. 20(12), 121313 (Dec 14, 2015). ; http://dx.doi.org/10.1117/1.JBO.20.12.121313


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