Bibliographic Details
| Title: |
Image Quality in Adaptive Optics Optical Coherence Tomography of Diabetic Patients. |
| Authors: |
Brunner, Elisabeth1 (AUTHOR) a.elisabeth.brunner@meduniwien.ac.at, Kunze, Laura2 (AUTHOR) laura.kunze@meduniwien.ac.at, Drexler, Wolfgang1 (AUTHOR) wolfgang.drexler@meduniwien.ac.at, Pollreisz, Andreas2 (AUTHOR) andreas.pollreisz@meduniwien.ac.at, Pircher, Michael1 (AUTHOR) michael.pircher@meduniwien.ac.at |
| Source: |
Diagnostics (2075-4418). Feb2025, Vol. 15 Issue 4, p429. 14p. |
| Subject Terms: |
*ADAPTIVE optics, *COHERENCE (Optics), *OPTICAL coherence tomography, *WAVEFRONT sensors, *RETINAL imaging |
| Abstract: |
Background/Objectives: An assessment of the retinal image quality in adaptive optics optical coherence tomography (AO-OCT) is challenging. Many factors influence AO-OCT imaging performance, leading to greatly varying imaging results, even in the same subject. The aim of this study is to introduce quantitative means for an assessment of AO-OCT image quality and to compare these with parameters retrieved from the pyramid wavefront sensor of the system. Methods: We used a spectral domain AO-OCT instrument to repetitively image six patients suffering from diabetic retinopathy over a time span of one year. The data evaluation consists of two volume acquisitions with a focus on the photoreceptor layer, each at five different retinal locations per visit; 7–8 visits per patient are included in this data analysis, resulting in a total of ~420 volumes. Results: A large variability in AO-OCT image quality is observed between subjects and between visits of the same subject. On average, the image quality does not depend on the measurement location. The data show a moderate correlation between the axial position of the volume recording and image quality. The correlation between pupil size and AO-OCT image quality is not linear. A weak correlation is found between the signal-to-noise ratio of the wavefront sensor image and the image quality. Conclusions: The introduced AO-OCT image quality metric gives useful insights into the performance of such a system. A longitudinal assessment of this metric, together with wavefront sensor data, is essential to identify factors influencing image quality and, in the next step, to optimize the performance of AO-OCT systems. [ABSTRACT FROM AUTHOR] |
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| Database: |
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