Robust strain estimation using adaptive dynamic grid interpolation model

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)


Tissue strain imaging is a new technology for imaging hardness information using ultrasound, and it is being used diagnosing breast cancer etc. However, the method currently used often induces errors in poor signal-to-noise ratio (SNR) such as low-echo areas. Therefore, this paper proposes a that can robustly estimate a strain distribution in poor areas. In order to use the adaptive dynamic grid (ADGI) model with a correlation coefficient in the method, errors in the poor SNR areas are corrected and high spatial resolution is maintained in the good SNR area.

Original languageEnglish
Article number4803533
Pages (from-to)2021-2024
Number of pages4
JournalProceedings - IEEE Ultrasonics Symposium
Publication statusPublished - 2008
Externally publishedYes
Event2008 IEEE International Ultrasonics Symposium, IUS 2008 - Beijing, China
Duration: 2008 Nov 22008 Nov 5


  • Adaptive dynamic grid interpolation model
  • Correlation coefficient
  • Displacement
  • Signal-to-noise ratio
  • Strain imaging

ASJC Scopus subject areas

  • Acoustics and Ultrasonics


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