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17 March 2023 Projection-resolved optical coherence tomographic angiography using artificial intelligence
Jie Wang, Tristan T. Hormel, Thomas S. Hwang, Steven T. Bailey, Yali Jia
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Proceedings Volume PC12360, Ophthalmic Technologies XXXIII; PC1236008 (2023) https://doi.org/10.1117/12.2650645
Event: SPIE BiOS, 2023, San Francisco, California, United States
Abstract
In this study, we developed voxel-wise projection-resolved optical coherence tomographic angiography (PR-OCTA) using artificial intelligence (AI). Two different artificial intelligence models were developed, including a pure convolutional neural network (CNN) model and a CNN and recurrent neural network (RNN) hybrid model. Compared with the state-of-art rules-based model, the AI models were able to preserve more in-situ blood flow and suppress projection artifacts and background noise.
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Jie Wang, Tristan T. Hormel, Thomas S. Hwang, Steven T. Bailey, and Yali Jia "Projection-resolved optical coherence tomographic angiography using artificial intelligence", Proc. SPIE PC12360, Ophthalmic Technologies XXXIII, PC1236008 (17 March 2023); https://doi.org/10.1117/12.2650645
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KEYWORDS
Artificial intelligence
Angiography
Coherence (optics)
Tomography
Blood circulation
Convolutional neural networks
Neural networks
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