Adaptive dynamic grid interpolation: A robust, high-performance displacement smoothing filter for myocardial strain imaging

Shuhui Bu, Tsuyoshi Shiina, Makoto Yamakawa, Hotaka Takizawa

Research output: Contribution to journalConference articlepeer-review

5 Citations (Scopus)

Abstract

Accurately assessing local myocardial strain is important for diagnosing ischemic heart diseases because decreased myocardial motion often appears in the early stage. The abnormal contraction motion can be visualized by myocardial strain images, but the strain calculation is very sensitive to noise. In our previous research, we proposed a dynamic gridinterpolation method for overcoming the limitation of the tradeoff between spatial resolution and accuracy in traditional movingaverage filters. Here, we propose a novel adaptive dynamic grid-interpolation method with the ability to adjust smoothing adaptively for myocardial strain imaging. In a model with the infarcted region located around 1 to 3 o'clock, the accuracy was improved from 41.47% to 22.90% without degrading spatial resolution compared to that generated by using median and moving averaging filters, even for a low SNR.

Original languageEnglish
Article number4803242
Pages (from-to)753-756
Number of pages4
JournalProceedings - IEEE Ultrasonics Symposium
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event2008 IEEE International Ultrasonics Symposium, IUS 2008 - Beijing, China
Duration: 2008 Nov 22008 Nov 5

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

Fingerprint

Dive into the research topics of 'Adaptive dynamic grid interpolation: A robust, high-performance displacement smoothing filter for myocardial strain imaging'. Together they form a unique fingerprint.

Cite this