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

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.

10 pages, 6 figures

Cited by in corpus (6)

• Curved-Full-Field OCT for high-resolution imaging of living human retina over a large field-of-view
• Dynamic optical coherence tomography algorithm for label-free assessment of swiftness and occupancy of intratissue moving scatterers
• Dynamic contrast in scanning microscopic OCT
• High-Resolution Dynamic Full-Field Optical Coherence Microscopy: Illuminating Intracellular Activity in Deep Tissue
• Experimental and numerical investigation of wavelength and resolution dependency of dynamic optical coherence tomography signals
• Label-free metabolic imaging of non-alcoholic-fatty-liver-disease (NAFLD) liver by volumetric dynamic optical coherence tomography