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Fusion of Magnetic Resonance and Ultrasound Images for Endometriosis Detection

El Mansouri, Oumaima and Vidal, Fabien and Basarab, Adrian and Payoux, Pierre and Kouamé, Denis and Tourneret, Jean-Yves Fusion of Magnetic Resonance and Ultrasound Images for Endometriosis Detection. (2020) IEEE Transactions on Image Processing, 29. 5324-5335. ISSN 1057-7149

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Official URL: https://doi.org/10.1109/TIP.2020.2975977


This paper introduces a new fusion method for magnetic resonance (MR) and ultrasound (US) images, which aims at combining the advantages of each modality, i.e., good contrast and signal to noise ratio for the MR image and good spatial resolution for the US image. The proposed algorithm is on an inverse problem, performing a super-resolution of the MR image and a denoising of the US image. A polynomial function is introduced to model the relationships between the gray levels of the MR and US images. The resulting inverse problem is solved using a proximal alternating linearized minimization algorithm. The accuracy and the interest of the fusion algorithm are shown quantitatively and qualitatively via evaluations on synthetic and experimental phantom data.

Item Type:Article
HAL Id:hal-02538458
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:French research institutions > Centre National d'Études Spatiales - CNES (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
French research institutions > Institut National de la Santé et de la Recherche Médicale - INSERM (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Laboratoire de recherche en télécommunications spatiales et aéronautiques - TéSA (FRANCE)
Laboratory name:
Deposited On:08 Apr 2020 14:30

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