Generating retinal flow maps from structural optical coherence tomography with artificial intelligence

24 Feb 2018Cecilia S. LeeAriel J. TyringYue WuSa XiaoAriel S. RokemNicolaas P. DeruyterQinqin ZhangAdnan TufailRuikang K. WangAaron Y. Lee

Despite significant advances in artificial intelligence (AI) for computer vision, its application in medical imaging has been limited by the burden and limits of expert-generated labels. We used images from optical coherence tomography angiography (OCTA), a relatively new imaging modality that measures perfusion of the retinal vasculature, to train an AI algorithm to generate vasculature maps from standard structural optical coherence tomography (OCT) images of the same retinae, both exceeding the ability and bypassing the need for expert labeling... (read more)

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