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We present a filtering procedure based on singular value decomposition to remove artifacts arising from sample motion during dynamic full field OCT acquisitions. The presented method succeeded in removing artifacts created by environmental noise from data acquired in a clinical setting, including in vivo data. Moreover, we report on a new method based on using the cumulative sum to compute dynamic images from raw signals, leading to a higher signal to noise ratio, and thus enabling dynamic imaging deeper in tissues.
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Jules Scholler, Pedro Mecê, Kassandra Groux, Viacheslav Mazlin, Claude Boccara, Kate Grieve, "Motion artifact removal and signal enhancement to achieve in vivo dynamic full field OCT (Conference Presentation)," Proc. SPIE 11228, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXIV, 112281N (9 March 2020); https://doi.org/10.1117/12.2542635