Noise-adaptive attenuation coefficient estimation in spectral domain optical coherence tomography data

Babak Ghafaryasl, Koenraad Arndt Vermeer, Johannes F de Boer, M E J van Velthoven, Lucas J van Vliet

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The attenuation coefficient (AC) is a tissue property that can be estimated from optical coherence tomography (OCT) data. We observed that excessive noise below the retina might cause both an underestimation and a significant variation of the estimated AC values by a state-of-the-art algorithm. Two methods were proposed to reduce these effects: I) by removing the average noise signal from the OCT data; II) by excluding the detected noise region below the retina. The methods were applied to four circular peripapillary retinal scans of a healthy subject. We evaluated all methods quantitatively using metrics for the inter- and intra-A-lines variation of the estimated ACs. Both methods resulted in higher ACs thereby reducing the bias. However, only method II succeeded in reducing the amount of variation by both metrics; method I made things worse. In conclusion, method II yields a more robust and more precise estimate of the AC, in particular for the choroid and sclera, compared to the baseline method.
Original languageEnglish
Title of host publicationIEEE 13th International Symposium on Biomedical Imaging (ISBI)
Pages706-709
ISBN (Electronic)978-1-4799-2349-6
DOIs
Publication statusPublished - 2016

Fingerprint Dive into the research topics of 'Noise-adaptive attenuation coefficient estimation in spectral domain optical coherence tomography data'. Together they form a unique fingerprint.

Cite this