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The optoacoustic imaging (OAI) methods are rapidly evolving for resolving optical contrast in medical imaging applications. In practice, measurement strategies are commonly implemented under limited‐view conditions due to oversized image objectives or system design limitations. Data acquired by limited‐view detection may impart artifacts and distortions in reconstructed optoacoustic (OA) images. We...
In optoacoustic imaging methods, measurement strategies are commonly implemented under limited‐view conditions, leading to artifacts and distortions in reconstructed optoacoustic images. We propose a hybrid data‐driven deep learning approach, termed as LV‐GAN, to efficiently recover high quality images from limited‐view optoacoustic images. The feasibility of LV‐GAN for artifact removal in biological...
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