Optimal clutter filtering for improved perfusion sensitivity

Minwoo Kim, Jamila Hedhli, Lawrence Dobrucki, Craig Abbey, Michael Insana

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Power Doppler (PD) is the preferred technique for accessing weakly scattering blood cells with low-velocity flow. However, strong clutter decreases sensitivity of the blood signals, which degrades micro-vasculature imaging. Eigen-based filtering methods have been developed to separate the independent scattering sources using both spatial and slow-time statistics of echo data. We recently found that extending data into frame-time sampled on the order of Hz increases the sensitivity of the weak perfusion signal. Higher-order singular value decomposition (HOSVD) effectively decouples these sources. The challenge is to select suitable subspaces to isolate the desired blood components. We propose a subspace selection strategy for optimal HOSVD performance.

Original languageEnglish (US)
Title of host publication2017 IEEE International Ultrasonics Symposium, IUS 2017
PublisherIEEE Computer Society
ISBN (Electronic)9781538633830
DOIs
StatePublished - Oct 31 2017
Event2017 IEEE International Ultrasonics Symposium, IUS 2017 - Washington, United States
Duration: Sep 6 2017Sep 9 2017

Publication series

NameIEEE International Ultrasonics Symposium, IUS
ISSN (Print)1948-5719
ISSN (Electronic)1948-5727

Other

Other2017 IEEE International Ultrasonics Symposium, IUS 2017
CountryUnited States
CityWashington
Period9/6/179/9/17

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

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    Kim, M., Hedhli, J., Dobrucki, L., Abbey, C., & Insana, M. (2017). Optimal clutter filtering for improved perfusion sensitivity. In 2017 IEEE International Ultrasonics Symposium, IUS 2017 [8092680] (IEEE International Ultrasonics Symposium, IUS). IEEE Computer Society. https://doi.org/10.1109/ULTSYM.2017.8092680