@inproceedings{1a687e3e21d34e1691caa26ff02f675c,
title = "Perfusion signal processing for optimal detection performance",
abstract = "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.",
keywords = "Decorrelation, Ideal Observer, Perfusion Imaging",
author = "Abbey, {Craig K.} and Minwoo Kim and Michael Insana",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE International Ultrasonics Symposium, IUS 2014 ; Conference date: 03-09-2014 Through 06-09-2014",
year = "2014",
month = oct,
day = "20",
doi = "10.1109/ULTSYM.2014.0561",
language = "English (US)",
series = "IEEE International Ultrasonics Symposium, IUS",
publisher = "IEEE Computer Society",
pages = "2253--2256",
booktitle = "IEEE International Ultrasonics Symposium, IUS",
}