Automated thresholding algorithms outperform manual thresholding in macular optical coherence tomography angiography image analysis

Jan Henrik Terheyden, Maximilian W M Wintergerst, Peyman Falahat, Moritz Berger, Frank G Holz and Robert P Finger

PLOS ONE, 2020, vol. 15, issue 3, 1-12

Abstract: Introduction: For quantification of Optical Coherence Tomography Angiography (OCTA) images, Vessel Density (VD) and Vessel Skeleton Density (VSD) are well established parameters and different algorithms are in use for their calculation. However, comparability, reliability and ability to discriminate healthy and impaired macular perfusion of different algorithms are unclear, yet, of potential high clinical relevance. Hence, we assessed comparability and test-retest reliability of the most common approaches. Materials and methods: Two consecutive 3×3mm OCTA en face images of the superficial and deep retinal layer were acquired with swept-source OCTA. VD and VSD were calculated with manual thresholding and six automated thresholding algorithms (Huang, Li, Otsu, Moments, Mean, Percentile) using ImageJ and compared in terms of intra-class correlation coefficients, measurement differences and repeatability coefficients. Receiver operating characteristic analyses (healthy vs. macular pathology) were performed and Area Under the Curve (AUC) values were calculated. Results: Twenty-six eyes (8 female, mean age: 47 years) of 15 patients were included (thereof 15 eyes with macular pathology). Binarization thresholds, VD and VSD differed significantly between the algorithms and compared to manual thresholding (p

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0230260

DOI: 10.1371/journal.pone.0230260

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