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Lett."],"published-print":{"date-parts":[[2025,7,1]]},"abstract":"<jats:p>Optical coherence tomography angiography (OCTA) suffers from more motion artifacts compared to optical coherence tomography, which are the primary source of image quality degradation in <jats:italic toggle=\"yes\">in vivo<\/jats:italic> imaging. We propose an OCTA algorithm in this Letter that differs from motion compensation methods widely employed to reduce motion artifacts and effectively mitigates these artifacts. The algorithm integrates differential phase and intensity images based on the standard deviation of the flow signals. The performance of this algorithm is evaluated on mouse retina <jats:italic toggle=\"yes\">in vivo<\/jats:italic> imaging. 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All rights, including for text and data mining (TDM), Artificial Intelligence (AI) training, and similar technologies, are reserved.","name":"copyright","label":"Copyright"}]}}