Reconstruction of bi-dimensional images in Fourier-transform acousto-optic imaging
Author(s) -
Maïmouna Bocoum,
JeanLuc Gennisson,
A. A. Grabar,
François Ramaz,
Jean-Michel Tualle
Publication year - 2020
Publication title -
optics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.524
H-Index - 272
eISSN - 1071-2763
pISSN - 0146-9592
DOI - 10.1364/ol.396688
Subject(s) - optics , fourier transform , detector , computer science , medical imaging , photorefractive effect , image processing , iterative reconstruction , spatial frequency , computer vision , fast fourier transform , artificial intelligence , physics , image (mathematics) , algorithm , quantum mechanics
We present a new, to the best of our knowledge, method to perform acousto-optic imaging based on a spatiotemporal structuration of long-duration acoustic plane waves. This approach is particularly relevant when using detectors with long integration times. We show how it is possible to reconstruct an image by measuring its two-dimensional Fourier components. A proof of concept is presented using a photorefractive detection scheme, demonstrating equal performances to direct imaging. The overall acquisition time is compatible with medical monitoring applications.
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