Perfusion signal processing for optimal detection performance

Craig K. Abbey, Minwoo Kim, Michael Insana

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


There is considerable interest in developing highresolution power-Doppler imaging to assess dynamic scattering that lacks the coherence necessary for color-flow Doppler methods. These methods have applications in evaluating the vascularity of cancerous lesions as well as micro-vasculature associated some auto-immune disorders. The objective of this study is to demonstrate the degree to which incorporating additional statistical properties of the perfusion signal can improve power-Doppler imaging. The analytical contribution of the work is the derivation of an optimal perfusion detector tuned to the correlation structure of the power-Doppler signal. We use this to compare the statistically optimal detector to detection performance of the standard wall-filtered intensity as proof-of-principle for the incorporation of signal statistics into perfusion imaging.

Original languageEnglish (US)
Title of host publicationIEEE International Ultrasonics Symposium, IUS
PublisherIEEE Computer Society
Number of pages4
ISBN (Electronic)9781479970490
StatePublished - Oct 20 2014
Event2014 IEEE International Ultrasonics Symposium, IUS 2014 - Chicago, United States
Duration: Sep 3 2014Sep 6 2014

Publication series

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


Other2014 IEEE International Ultrasonics Symposium, IUS 2014
Country/TerritoryUnited States


  • Decorrelation
  • Ideal Observer
  • Perfusion Imaging


Dive into the research topics of 'Perfusion signal processing for optimal detection performance'. Together they form a unique fingerprint.

Cite this