Skip to Main content Skip to Navigation
Conference papers

Medical ultrasound image reconstruction using distributed compressive sampling

Adrian Basarab 1, 2 Hervé Liebgott 3 Olivier Bernard 4 Denis Friboulet 4 Denis Kouamé 1 
1 IRIT-TCI - Traitement et Compréhension d’Images
IRIT - Institut de recherche en informatique de Toulouse
3 Imagerie Ultrasonore
CREATIS - Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé
4 Images et Modèles
CREATIS - Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé
Abstract : This paper investigates ultrasound (US) radiofrequency (RF) signal recovery using the distributed compressed sampling framework. The “correlation” between the RF signals forming a RF image is exploited by assuming that they have the same sparse support in the 1D Fourier transform, with different coefficient values. The method is evaluated using an experimental US image. The results obtained are shown to improve a previously proposed recovery method, where the correlation between RF signals was taken into account by assuming the 2D Fourier transform of the RF image sparse.
Complete list of metadata

Cited literature [9 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01150347
Contributor : Open Archive Toulouse Archive Ouverte (OATAO) Connect in order to contact the contributor
Submitted on : Monday, May 11, 2015 - 9:17:36 AM
Last modification on : Saturday, September 24, 2022 - 2:44:05 PM
Long-term archiving on: : Monday, September 14, 2015 - 9:46:02 PM

File

Basarab_12355.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01150347, version 1
  • OATAO : 12355

Citation

Adrian Basarab, Hervé Liebgott, Olivier Bernard, Denis Friboulet, Denis Kouamé. Medical ultrasound image reconstruction using distributed compressive sampling. IEEE International Symposium on Biomedical Imaging: From Nano to Macro - ISBI 2013, Apr 2013, San Francisco, United States. pp. 628-631. ⟨hal-01150347⟩

Share

Metrics

Record views

178

Files downloads

297