Hexagonal adaptive filtering on compound ultrasound images

Sonia H.Contreras Ortiz, Tsuicheng Chiu, Martin D. Fox

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

3 Scopus citations

Abstract

This paper describes an approach to improve the contrast and signal to noise ratio on ultrasound images. Images with sub-pixel lateral displacements were re-sampled using a hexagonal grid, registered and compounded. The resultant image was filtered using a hexagonal adaptive masking filter. This approach was evaluated with simulated images and real images from a breast phantom. The results show total improvements in signal to noise ratio of up to 313% in simulated images, and 182% in phantom images. Contrast to noise ratio was improved by 286% in simulated images and 56% in phantom images.

Original languageEnglish (US)
Title of host publication33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Pages4856-4859
Number of pages4
DOIs
StatePublished - 2011
Externally publishedYes
Event33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, United States
Duration: Aug 30 2011Sep 3 2011

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)1557-170X

Other

Other33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Country/TerritoryUnited States
CityBoston, MA
Period8/30/119/3/11

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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