Reconstruction of Compressively Sampled Ultrasound Images Using Dual Prior Information - Archive ouverte HAL Access content directly
Conference Papers Year : 2015

Reconstruction of Compressively Sampled Ultrasound Images Using Dual Prior Information

Abstract

This paper introduces a new technique for compressive sampling reconstruction of biomedical ultrasound images that exploits two types of prior information. On the one hand, our proposed approach is based on the observation that ultrasound RF echoes are best characterised statistically using alpha-stable distributions. On the other hand, through knowledge of the acquisition process, the support of the RF echoes in the Fourier domain can be easily inferred. Together, these two facts inform an iteratively reweighted least squares (IRLS) algorithm, which is shown to outperform previously proposed reconstruction techniques, both visually and in terms of two objective evaluation measures.
Fichier principal
Vignette du fichier
alin_15169.pdf (222.86 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01399892 , version 1 (21-11-2016)

Identifiers

  • HAL Id : hal-01399892 , version 1
  • OATAO : 15169

Cite

Alin Achim, Adrian Basarab, George Tzagkarakis, Panagiotis Tsakalides, Denis Kouamé. Reconstruction of Compressively Sampled Ultrasound Images Using Dual Prior Information. IEEE International Conference on Image Processing (ICIP 2014), Oct 2014, Paris, France. pp. 1283-1286. ⟨hal-01399892⟩
101 View
168 Download

Share

Gmail Facebook X LinkedIn More