Improved signal processing to detect cancer by ultrasonic molecular imaging of targeted nanoparticles

Michael Hughes, Jon Marsh, Gregory Lanza, Samuel Wickline, John McCarthy, Victor Wickerhauser, Brian Maurizi, Kirk Wallace

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

In several investigations of molecular imaging of angiogenic neovasculature using a targeted contrast agent, Renyi entropy I f (r) and a limiting form of Renyi entropy (I f,∞ ) exhibited significantly more sensitivity to subtle changes in scattering architecture than energy-based methods. Many of these studies required the fitting of a cubic spline to backscattered waveforms prior to calculation of entropy either I f (r) or I f,∞. In this study, it is shown that the robustness of I f,∞ may be improved by using a smoothing spline. Results are presented showing the impact of different smoothing parameters. In addition, if smoothing is preceded by low-pass filtering of the waveforms, further improvements may be obtained.

Original languageEnglish
Pages (from-to)3756-3767
Number of pages12
JournalJournal of the Acoustical Society of America
Volume129
Issue number6
DOIs
StatePublished - Jun 2011

Fingerprint

Dive into the research topics of 'Improved signal processing to detect cancer by ultrasonic molecular imaging of targeted nanoparticles'. Together they form a unique fingerprint.

Cite this