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Proceedings Paper

Ultrasound perfusion signal processing for tumor detection
Author(s): MinWoo Kim; Craig K. Abbey; Michael F. Insana
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Paper Abstract

Enhanced blood perfusion in a tissue mass is an indication of neo-vascularity and a sign of a potential malignancy. Ultrasonic pulsed-Doppler imaging is a preferred modality for noninvasive monitoring of blood flow. However, the weak blood echoes and disorganized slow flow make it difficult to detect perfusion using standard methods without the expense and risk of contrast enhancement. Our research measures the efficiency of conventional power-Doppler (PD) methods at discriminating flow states by comparing measurement performance to that of an ideal discriminator. ROC analysis applied to the experimental results shows that power Doppler methods are just 30-50 % efficient at perfusion flows less than 1ml/min, suggesting an opportunity to improve perfusion assessment through signal processing. A new perfusion estimator is proposed by extending the statistical discriminator approach. We show that 2-D perfusion color imaging may be enhanced using this approach.

Paper Details

Date Published: 1 April 2016
PDF: 10 pages
Proc. SPIE 9790, Medical Imaging 2016: Ultrasonic Imaging and Tomography, 97900O (1 April 2016); doi: 10.1117/12.2214345
Show Author Affiliations
MinWoo Kim, Univ. of Illinois at Urbana-Champaign (United States)
Craig K. Abbey, Univ. of California, Santa Barbara (United States)
Michael F. Insana, Univ. of Illinois at Urbana-Champaign (United States)

Published in SPIE Proceedings Vol. 9790:
Medical Imaging 2016: Ultrasonic Imaging and Tomography
Neb Duric; Brecht Heyde, Editor(s)

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