Digital filter design for strain-flow imaging

Christian M. Kargel; Gernot Hobenreich; Michael F. Insana

doi:10.1117/12.479914

23 May 2003 Digital filter design for strain-flow imaging

Christian M. Kargel, Gernot Hobenreich, Michael F. Insana

Proceedings Volume 5035, Medical Imaging 2003: Ultrasonic Imaging and Signal Processing; (2003) https://doi.org/10.1117/12.479914
Event: Medical Imaging 2003, 2003, San Diego, California, United States

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.

Citation Download Citation

Christian M. Kargel, Gernot Hobenreich, and Michael F. Insana "Digital filter design for strain-flow imaging", Proc. SPIE 5035, Medical Imaging 2003: Ultrasonic Imaging and Signal Processing, (23 May 2003); https://doi.org/10.1117/12.479914

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KEYWORDS

Tissues

Optical filters

Image filtering

Doppler effect

Electronic filtering

Infinite impulse response filters

Blood

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