<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Brunner E</submitter><funding>Austrian Science Fund FWF</funding><funding>Roche Pharma AG (Germany)</funding><pagination>429</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11854792</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>15(4)</volume><pubmed_abstract>&lt;b>Background/Objectives&lt;/b>: 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. &lt;b>Methods&lt;/b>: 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. &lt;b>Results&lt;/b>: 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. &lt;b>Conclusions&lt;/b>: 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.</pubmed_abstract><journal>Diagnostics (Basel, Switzerland)</journal><pubmed_title>Image Quality in Adaptive Optics Optical Coherence Tomography of Diabetic Patients.</pubmed_title><pmcid>PMC11854792</pmcid><funding_grant_id>Unrestricted research grant</funding_grant_id><funding_grant_id>P22329-N20, F6803-N36</funding_grant_id><pubmed_authors>Drexler W</pubmed_authors><pubmed_authors>Brunner E</pubmed_authors><pubmed_authors>Pollreisz A</pubmed_authors><pubmed_authors>Pircher M</pubmed_authors><pubmed_authors>Kunze L</pubmed_authors></additional><is_claimable>false</is_claimable><name>Image Quality in Adaptive Optics Optical Coherence Tomography of Diabetic Patients.</name><description>&lt;b>Background/Objectives&lt;/b>: 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. &lt;b>Methods&lt;/b>: 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. &lt;b>Results&lt;/b>: 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. &lt;b>Conclusions&lt;/b>: 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.</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Feb</publication><modification>2025-04-04T10:42:22.002Z</modification><creation>2025-04-04T10:42:22.002Z</creation></dates><accession>S-EPMC11854792</accession><cross_references><pubmed>40002580</pubmed><doi>10.3390/diagnostics15040429</doi></cross_references></HashMap>