Abstract
AbstractIn 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 applications and the portability of LV‐GAN was validated by ex vivo experiments based on two different optoacoustic imaging systems.Further details can be found in the article by Tong Lu, Tingting Chen, Feng Gao, Biao Sun, Vasilis Ntziachristos, and Jiao Li (e202000325). image
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