Fusion Of Magnetic Resonance And Ultrasound Images: A Preliminary Study On Simulated Data

Oumaima El Mansouri (1) , Adrian Basarab (1, 2) , Denis Kouamé (1) , Jean-Yves Tourneret (1, 3) , Fabien Vidal (1)

1 IRIT-MINDS - CoMputational imagINg anD viSion
2 UT3 - Université Toulouse III - Paul Sabatier
3 Toulouse INP - Institut National Polytechnique (Toulouse)

We propose a new fusion method for magnetic resonance imaging (MRI) and ultrasound (US) data combining two inverse problems: MRI reconstruction using super-resolution and US image despeckling, using a model relating the two modalities through an unknown polynomial function. We demonstrate the accuracy of the proposed fusion algorithm by quantitative and qualitative evaluation using synthetic data. The resulting fused image is shown to have an improved signal to noise ratio and spatial resolution compared to the native MRI and US images.

Mots clés: fusion MRI and ultrasound; super-resolution; despeckling; alternating direction method of multipliers; total variation regularization

Domaines: Informatique [cs]

Oumaima El Mansouri, Adrian Basarab, Denis Kouamé, Jean-Yves Tourneret, Fabien Vidal. Fusion Of Magnetic Resonance And Ultrasound Images: A Preliminary Study On Simulated Data. IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), IEEE, Apr 2019, Venice, Italy. pp.1733-1736, ⟨10.1109/ISBI.2019.8759524⟩. ⟨hal-02612936⟩