Automatically Determining the Confocal Parameters From OCT B-Scans for Quantification of the Attenuation Coefficients.
| Author | |
|---|---|
| Abstract |
:
The attenuation coefficient is a relevant biomarker for many diagnostic medical applications. Recently, the Depth-Resolved Confocal (DRC) technique was developed to automatically estimate the attenuation coefficients from Optical Coherence Tomography (OCT) data with pixel-level resolution. However, DRC requires that the confocal function parameters (i.e., focal plane location and apparent Rayleigh range) be known a priori. In this paper, we present the autoConfocal algorithm: a simple, automatic method for estimating those parameters directly from OCT imagery when the focal plane is within the sample. We present autoConfocal+DRC results on phantom data, ex-vivo biological tissue data, and in-vivo clinical data. |
| Year of Publication |
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2019
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| Journal |
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IEEE transactions on medical imaging
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| Volume |
:
38
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| Issue |
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1
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| Number of Pages |
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261-268
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| ISSN Number |
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0278-0062
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| URL |
:
https://doi.org/10.1109/TMI.2018.2861570
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| DOI |
:
10.1109/TMI.2018.2861570
|
| Short Title |
:
IEEE Trans Med Imaging
|
| Download citation |
