Generating retinal flow maps from structural optical coherence tomography with artificial intelligence
Generating retinal flow maps from structural optical coherence tomography with artificial intelligence
ABSTRACT Despite advances in artificial intelligence (AI), its application in medical imaging has been burdened and limited by expert-generated labels. We used images from optical coherence tomography angiography (OCTA), a relatively new imaging modality that measures retinal blood flow, to train an AI algorithm to generate flow maps from standard optical coherence tomography (OCT) images, exceeding the ability and bypassing the need for expert labeling. Deep learning was able to infer flow from single structural OCT images with similar fidelity to OCTA and significantly better than expert clinicians (P < 0.00001). Our model allows generating flow maps from large volumes of previously collected OCT data in existing clinical trials and clinical practice. This finding demonstrates a novel application of AI to medical imaging, whereby subtle regularities between different modalities are used to image the same body part and AI is used to generate detailed inferences of tissue function from structure imaging.
Lee Cecilia S.、Xiao Sa、Rokem Ariel S.、Tufail Adnan、Tyring Ariel J.、Deruyter Nicolaas P.、Lee Aaron Y.、Wang Ruikang K.、Wu Yue、Zhang Qinqin
Department of Ophthalmology, University of WashingtonDepartment of Ophthalmology, University of WashingtoneScience Institute, University of WashingtonMoorfields Eye Hospital NHS Foundation TrustDepartment of Ophthalmology, University of WashingtonDepartment of Ophthalmology, University of WashingtonDepartment of Ophthalmology, University of Washington||eScience Institute, University of WashingtonDepartment of Ophthalmology, University of Washington||Department of Bioengineering, University of WashingtonDepartment of Ophthalmology, University of WashingtonDepartment of Bioengineering, University of Washington
医学研究方法基础医学眼科学
Lee Cecilia S.,Xiao Sa,Rokem Ariel S.,Tufail Adnan,Tyring Ariel J.,Deruyter Nicolaas P.,Lee Aaron Y.,Wang Ruikang K.,Wu Yue,Zhang Qinqin.Generating retinal flow maps from structural optical coherence tomography with artificial intelligence[EB/OL].(2025-03-28)[2025-06-18].https://www.biorxiv.org/content/10.1101/271346.点此复制
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