Semi-Blind Deconvolution for Resolution Enhancement in Ultrasound Imaging

Renaud Morin (1) , Stéphanie Bidon (2) , Adrian Basarab (1, 3) , Denis Kouamé (1)

1 IRIT-TCI - Traitement et Compréhension d’Images
2 ISAE-SUPAERO - Institut Supérieur de l'Aéronautique et de l'Espace
3 UT3 - Université Toulouse III - Paul Sabatier

In the field of ultrasound imaging, resolution enhancement is an up-to-date challenging task. Many device-based approaches have been proposed to overcome the low resolution nature of ultrasound images but very few works deal with post-processing methods. This paper investigates a novel approach based on semi-blind deconvolution formulation and alternating direction method framework in order to perform the ultrasound image restoration task. The algorithm performance is addressed using optical images and synthetic ultrasound data for a various range of criteria. The results demonstrate that our technique is more robust to uncertainties in the a priori ultrasonic pulse than classical non-blind deconvolution methods.

Mots clés: Resolution enhancement; Ultrasound; Deconvolution; Alternating direction method of multipliers

Domaines: Synthèse d'image et réalité virtuelle [cs.GR]; Traitement du signal et de l'image [eess.SP]; Traitement des images [eess.IV]; Vision par ordinateur et reconnaissance de formes [cs.CV]; Intelligence artificielle [cs.AI]

Renaud Morin, Stéphanie Bidon, Adrian Basarab, Denis Kouamé. Semi-Blind Deconvolution for Resolution Enhancement in Ultrasound Imaging. IEEE International Conference on Image Processing - ICIP 2013, Sep 2013, Melbourne, Australia. pp. 1413-1417. ⟨hal-01148283⟩