Automatically Determining the Confocal Parameters From OCT B-Scans for Quantification of the Attenuation Coefficients.
| Author | |
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| 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 | 
   :  
              2019 
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| Journal | 
   :  
              IEEE transactions on medical imaging 
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| Volume | 
   :  
              38 
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| Issue | 
   :  
              1 
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| Number of Pages | 
   :  
              261-268 
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| ISSN Number | 
   :  
              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 
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| Short Title | 
   :  
              IEEE Trans Med Imaging 
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