Self-Portrait of the Focusing Process in Speckle: II. Gouy Phase Shift for Defocus Correction and Pixel Depth Reassignment
Flavien Bureau, Emma Brenner, Naiara Korta Martiartu, Elsa Giraudat, Arthur Le Ber, William Lambert, Louis Carmier, Aymeric Guibal, Mathias Fink, Alexandre Aubry

TL;DR
This paper demonstrates how observing the Gouy phase shift in speckle patterns enables pixel-wise optimization of wave speed models, leading to improved defocus correction and depth accuracy in ultrasound imaging.
Contribution
It introduces a novel method to exploit the Gouy phase shift for local wave speed optimization and aberration correction in speckle-based reflection imaging.
Findings
Gouy phase shift observed at optimal speed-of-sound model
Enhanced local defocus correction across the image
Improved depth accuracy in in-vivo liver imaging
Abstract
This is the second article in a series of three dealing with the exploitation of speckle for aberration correction and reverberation compensation in reflection imaging. When probing heterogeneous media with waves, we have to cope with multi-scale fluctuations of the wave velocity. On the one hand, short-scale heterogeneities induce back-scattered echoes whose random interference generate a speckle pattern on the beamformed image. On the other hand, large-scale fluctuations of the wave-velocity can distort the focused wave-fronts, resulting in aberrations on the same image. In this paper, we show how the self-portrait of the wave evolves as a function of the speed-of-sound model. Strikingly, a Gouy phase shift is observed when the speed-of-sound model is optimal. This particularly sensitive feature enables: (i) an optimization of the speed-of-sound model for each pixel of the image; (ii)…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
