Fast transform-based adaptive beamformer for medical ultrasound imaging

Kyuhong Kim, Suhyun Park, Sung Chan Park, Jooyoung Kang, Yun Tae Kim, Jung Ho Kim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Minimum Variance (MV) beamforming has been studied for high resolution ultrasonic imaging. However, it is not easy for the MV beamformer to be implemented into a real time diagnostic system, because it requires too many computations for covariance matrix inversion. We introduce a transform-based adaptive beamforming algorithm for ultrasound medical imaging where the transformation can reduce the dimension of the covariance matrix in estimating beamformation weights. Moreover, it is shown that beamformation result can be directly calculated in the transformed domain. Experimental results indicate that our beamforming method shows better resolution and contrast under a real phantom and in-vivo environment.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
PublisherIEEE Computer Society
Pages2329-2333
Number of pages5
ISBN (Print)9781479923410
DOIs
StatePublished - 2013
Event2013 20th IEEE International Conference on Image Processing, ICIP 2013 - Melbourne, VIC, Australia
Duration: 15 Sep 201318 Sep 2013

Publication series

Name2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings

Conference

Conference2013 20th IEEE International Conference on Image Processing, ICIP 2013
Country/TerritoryAustralia
CityMelbourne, VIC
Period15/09/1318/09/13

Keywords

  • Minimum Variance
  • PCA
  • Ultrasound Beamforming

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