Adaptive Clutter Rejection Filtering in Ultrasonic Strain-Flow Imaging

Christian Kargel, Gernot Höbenreich, Birgit Trummer, Michael F. Insana

Research output: Contribution to journalArticlepeer-review


This paper introduces strain-flow imaging as a potential new technique for investigating vascular dynamics and tumor biology. The deformation of tissues surrounding pulsatile vessels and the velocity of fluid in the vessel are estimated from the same data set. The success of the approach depends on the performance of a digital filter that must separate echo signal components caused by flow from tissue motion components that vary spatially and temporally. Eigenfilters, which are an important tool for naturally separating signal components adaptively throughout the image, perform very well for this task. The method is examined using two tissue-mimicking flow phantoms that provide stationary and moving clutter associated with pulsatile flow.

Original languageEnglish (US)
Pages (from-to)824-835
Number of pages12
JournalIEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
Issue number7
StatePublished - Jul 2003
Externally publishedYes

ASJC Scopus subject areas

  • Instrumentation
  • Acoustics and Ultrasonics
  • Electrical and Electronic Engineering


Dive into the research topics of 'Adaptive Clutter Rejection Filtering in Ultrasonic Strain-Flow Imaging'. Together they form a unique fingerprint.

Cite this