  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.
