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Proceedings Paper

Digital filter design for strain-flow imaging
Author(s): Christian M. Kargel; Gernot Hobenreich; Michael F. Insana
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Paper Abstract

This paper introduces strain-flow imaging as a 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.

Paper Details

Date Published: 23 May 2003
PDF: 12 pages
Proc. SPIE 5035, Medical Imaging 2003: Ultrasonic Imaging and Signal Processing, (23 May 2003); doi: 10.1117/12.479914
Show Author Affiliations
Christian M. Kargel, Univ. of California/Davis (United States)
Gernot Hobenreich, Univ. of California/Davis (United States)
Michael F. Insana, Univ. of California/Davis (United States)


Published in SPIE Proceedings Vol. 5035:
Medical Imaging 2003: Ultrasonic Imaging and Signal Processing
William F. Walker; Michael F. Insana, Editor(s)

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