Skip to Main content Skip to Navigation
Conference papers

Magnetic Resonance and Ultrasound Image Fusion Using a PALM Algorithm

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 ofthe US image.
Document type :
Conference papers
Complete list of metadata

Cited literature [7 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-02901497
Contributor : Open Archive Toulouse Archive Ouverte (oatao) <>
Submitted on : Friday, July 17, 2020 - 11:42:16 AM
Last modification on : Wednesday, June 9, 2021 - 10:00:34 AM
Long-term archiving on: : Tuesday, December 1, 2020 - 12:02:16 AM

File

el_mansouri_26243.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-02901497, version 1
  • OATAO : 26243

Citation

Oumaima El Mansouri, Adrian Basarab, Fabien Vidal, Denis Kouamé, Jean-Yves Tourneret. 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⟩

Share

Metrics

Record views

24

Files downloads

21