A sparse regularization approach for ultrafast ultrasound imaging

Détails

ID Serval
serval:BIB_DBD66C1B6467
Type
Actes de conférence (partie): contribution originale à la littérature scientifique, publiée à l'occasion de conférences scientifiques, dans un ouvrage de compte-rendu (proceedings), ou dans l'édition spéciale d'un journal reconnu (conference proceedings).
Collection
Publications
Titre
A sparse regularization approach for ultrafast ultrasound imaging
Titre de la conférence
IEEE International Ultrasonics Symposium
Auteur(s)
Carrillo Rafael, Besson Adrien Georges Jean, Zhang Miaomiao, Friboulet Denis, Wiaux Yves, Thiran Jean-Philippe, Bernard Olivier
Adresse
21-24 Oct. 2015, Taipei
Statut éditorial
Publié
Date de publication
2015
Langue
anglais
Notes
EPFL-CONF-211217
Résumé
Ultrafast imaging based on plane-wave (PW) insonification is an active area of research due to its capability of reaching high frame rates. Several approaches have been proposed either based on either of Fourier-domain reconstruction or on delay-and-sum (DAS) reconstruction. Using a single PW, these techniques achieve low quality, in terms of resolution and contrast, compared to the classic DAS method with focused beams. To overcome this drawback, compounding of several steered PWs is needed, which currently decreases the high frame rate limit that could be reached by such techniques. Based on a compressed sensing (CS) framework, we propose a new method that allows the reconstruction of high quality ultrasound (US) images from only 1 PW at the expense of augmenting the computational complexity at the reconstruction.
Mots-clé
Ultrasound imaging, Ultrafast imaging, Compressed sensing
Création de la notice
27/11/2015 14:22
Dernière modification de la notice
20/08/2019 16:00
Données d'usage