@InProceedings{ ElBaViKoTo2019.1,
author = {El Mansouri, OuMayma and Basarab, Adrian and Vidal, Fabien and Kouam\'e, Denis and Tourneret, Jean-Yves},
title = "{Magnetic Resonance and Ultrasound Image Fusion Using a PALM Algorithm (regular paper)}",
booktitle = "{Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS 2019), Toulouse, 01/07/2019-04/07/2019}",
year = {2019},
publisher = {INPT : Institut National Polytechnique de Toulouse},
address = {http://www.inp-toulouse.fr},
pages = {(on line)},
language = {anglais},
URL = {https://www.irit.fr/~Adrian.Basarab/img/Spars2019_OeM.pdf - https://oatao.univ-toulouse.fr/26243/},
abstract = {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 of the US image.}
}

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