What can the eye tell about the heart? We explored associations btw retinal microvasculature via retinal #OCTA & myocardial flow reserve (MFR) via cardiac PET/CT. A collaborative effort and a labor of love with @Bweber04 team of the @BrighamWomens@OCT_Waheed@TuftsMedicalCtr
While not a direct alternative to MFR from PET, OCTA may provide a rapid and non-invasive means of obtaining additional insight into coronary *microvascular* dysfunction
Averaging is one strategy to enhance #OCTA scan quality. It requires multiple acquisitions - a time and resources consuming process. Here we utilized #DeepLearning to de-noise single OCTA scans to appear comparable to 4-frame averages; "#pseudoaveraging" https://t.co/iyteAMUJaG
#OCTA is a cool imaging modality that, thus far, remains mostly a research tool. Variability in quantifying scans is one of the main roadblocks to adopting this tool as a clinical one. Here we introduce a software as an attempt to address this:https://t.co/SwpaYtmSpV
@OCT_Waheed
In this study, we show that the prototype ultrahigh resolution #OCT can detect & quantify sub-RPE deposits (hypothesized to be basal laminar deposit) in early #AMD, separating AMD pathology from normal #aging@OCT_Waheed@MIT
https://t.co/y9ai5GhN5n
@aaronylee@EyeRes_@ophtho_res I think this would be great. Even if one doesn’t plan to be a producer of big data research, early training during residency will help physicians read AI papers more critically. This is esp true in ophthalmology as a leading medical field in AI.
In 31 eyes, we measured mac hole size using choroidal hypertransmission signal on #OCT (compared to the standard minimum aperture size method). We show hypertransmission signal is a reproducible method that can be used to automate hole size measurement
https://t.co/ywDdgCQNoQ