# Motion artifact removal and signal enhancement to achieve in vivo dynamic full field OCT

## TL;DR

This paper introduces a novel filtering method using singular value decomposition to remove motion artifacts in dynamic full field OCT, and a cumulative sum technique to enhance signal quality for deeper tissue imaging.

## Contribution

It presents a new artifact removal approach and a signal enhancement method that improve in vivo dynamic OCT imaging capabilities.

## Key findings

- Effective removal of environmental noise artifacts.
- Enhanced signal-to-noise ratio enabling deeper tissue imaging.
- Successful application in clinical in vivo data.

## Abstract

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.