Cross-attention learning enables real-time nonuniform rotational distortion correction in OCT
Jianlong Yang,
Haoran Zhang,
Jingqian Zhang
et al.
Abstract:Nonuniform rotational distortion (NURD) correction is vital for endoscopic optical coherence tomography (OCT) imaging and its functional extensions, such as angiography and elastography. Current NURD correction methods require time-consuming feature tracking/registration or cross-correlation calculations and thus sacrifice temporal resolution. Here we propose a cross-attention learning method for the NURD correction in OCT. Our method is inspired by the recent success of the self-attention mechanism in natural… Show more
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