Semi-Blind Deconvolution for Resolution Enhancement in Ultrasound Imaging

Abstract : In the field of ultrasound imaging, resolution enhancement is an up-to-date challenging task. Many device-based approaches have been proposed to overcome the low resolution nature of ultrasound images but very few works deal with post-processing methods. This paper investigates a novel approach based on semi-blind deconvolution formulation and alternating direction method framework in order to perform the ultrasound image restoration task. The algorithm performance is addressed using optical images and synthetic ultrasound data for a various range of criteria. The results demonstrate that our technique is more robust to uncertainties in the a priori ultrasonic pulse than classical non-blind deconvolution methods.
Complete list of metadatas

Cited literature [26 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01148283
Contributor : Open Archive Toulouse Archive Ouverte (oatao) <>
Submitted on : Monday, May 4, 2015 - 1:05:03 PM
Last modification on : Thursday, June 27, 2019 - 4:27:49 PM
Long-term archiving on : Monday, September 14, 2015 - 6:11:47 PM

File

Morin_12460.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01148283, version 1
  • OATAO : 12460

Collections

Citation

Renaud Morin, Stéphanie Bidon, Adrian Basarab, Denis Kouamé. Semi-Blind Deconvolution for Resolution Enhancement in Ultrasound Imaging. IEEE International Conference on Image Processing - ICIP 2013, Sep 2013, Melbourne, Australia. pp. 1413-1417. ⟨hal-01148283⟩

Share

Metrics

Record views

142

Files downloads

405