Coherence of ultrasound radiofrequency echoes from the liver estimated using multi-taper calculation

Nicholas Rubert, Tomy Varghese

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

Abstract

Acoustic scattering from the microvasculature in the liver is frequently modeled by a quasi-periodic distribution of point scatterers. The received echoes from such an arrangement of scatterers has random but correlated phase at frequency components corresponding to the average spacing of the quasi-periodic scatterers. The extent of the correlation between different frequency components is measured by calculating signal coherence. To date in ultrasound, estimators for coherence have used windowed short-time FFTs of radiofrequency data where the windows selected have been chosen ad hoc. Using receiver operating characteristic analysis (ROC), we show that Slepian sequences provide an estimator which more reliably distinguishes between liver and ablated tissue in an ex vivo setting than estimators using the Hann, Hamming, or Blackman-Harris window. For a gate length of 7 mm or 21 wavelengths we achieve an area under the ROC curve of 0.93 with Slepian sequences for coherence calculations.

Original languageEnglish (US)
Title of host publicationISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro
Pages724-727
Number of pages4
DOIs
StatePublished - 2013
Event2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013 - San Francisco, CA, United States
Duration: Apr 7 2013Apr 11 2013

Publication series

NameProceedings - International Symposium on Biomedical Imaging
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Other

Other2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013
Country/TerritoryUnited States
CitySan Francisco, CA
Period4/7/134/11/13

Keywords

  • coherence
  • quantitative ultrasound
  • ultrasound

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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