Application of l1 regularization for high-quality reconstruction of ultrasound tomography

Tan Tran-Duc, Nguyen Linh-Trung, Michael L. Oelze, Minh N. Do

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Ultrasound tomography based on inverse scattering has the capability to resolve structures which are smaller than the wavelength of the incident wave, as opposed to conventional ultrasound imaging using echo method. Some material properties such as sound contrast are very useful to detect small objects. Born Iterative Method (BIM) based on first-order Born approximation has been introduced as an efficient diffraction tomography approach. However, this method has a high complexity because it has to solve large iterative forward and inverse problems. In this paper, we propose to replace Tikhonov regularization by l 1-regularized least squares problem (LSP) in solving the inverse problem in BIM. As a result, the quality of reconstruction is improved and the complexity is reduced.

Original languageEnglish (US)
Title of host publication4th International Conference on Biomedical Engineering in Vietnam
Pages309-312
Number of pages4
DOIs
StatePublished - 2013
Event4th International Conference on the Development of Biomedical Engineering in Vietnam - Ho Chi Minh City, Viet Nam
Duration: Jan 8 2012Jan 10 2012

Publication series

NameIFMBE Proceedings
Volume40 IFMBE
ISSN (Print)1680-0737

Other

Other4th International Conference on the Development of Biomedical Engineering in Vietnam
Country/TerritoryViet Nam
CityHo Chi Minh City
Period1/8/121/10/12

Keywords

  • Born Iterative Method
  • inverse scattering
  • Tikhonov regularization
  • tomography
  • Ultrasound

ASJC Scopus subject areas

  • Biomedical Engineering
  • Bioengineering

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