Magnetic Resonance and Ultrasound Image Fusion Using a PALM Algorithm

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)

This paper studies a new fusion algorithm for magnetic resonance (MR) and ultrasound (US) images combining two inverse problems for MR image super-resolution and US image despeckling. A polynomial function is used to link the gray levels of the two imaging modalities. Qualitative and quantitative evaluations on experimental phantom data show the interest of the proposed algorithm. The fused image is shown to take advantage of both the good contrast and high signal to noise ratio of the MR image and the good spatial resolution ofthe US image.

Mots clés: Magnetic resonance image; Ultrasound image; Fused image

Domaines: Traitement du signal et de l'image [eess.SP]

Oumaima El Mansouri, Adrian Basarab, Denis Kouamé, Jean-Yves Tourneret, Fabien Vidal. Magnetic Resonance and Ultrasound Image Fusion Using a PALM Algorithm. Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS 2019), Jul 2019, Toulouse, France. pp.0. ⟨hal-02901497⟩