Ultrasound-guided characterization of interstitial ablated tissue using RF time series: Feasibility study

Farhad Imani, Purang Abolmaesumi, Mark Z. Wu, Andras Lasso, Everett C. Burdette, Goutam Ghoshal, Tamas Heffter, Emery Williams, Paul Neubauer, Gabor Fichtinger, Parvin Mousavi

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

This paper presents the results of a feasibility study to demonstrate the application of ultrasound RF time series imaging to accurately differentiate ablated and nonablated tissue. For 12 ex vivo and two in situ tissue samples, RF ultrasound signals are acquired prior to, and following, high-intensity ultrasound ablation. Spatial and temporal features of these signals are used to characterize ablated and nonablated tissue in a supervised-learning framework. In cross-validation evaluation, a subset of four features extracted from RF time series produce a classification accuracy of 84.5%, an area under ROC curve of 0.91 for ex vivo data, and an accuracy of 85% for in situ data. Ultrasound RF time series is a promising approach for characterizing ablated tissue.

Original languageEnglish (US)
Article number6412777
Pages (from-to)1608-1618
Number of pages11
JournalIEEE Transactions on Biomedical Engineering
Volume60
Issue number6
DOIs
StatePublished - 2013
Externally publishedYes

Keywords

  • Characterization of ablated tissue region
  • tissue ablation
  • ultrasound RF time series

ASJC Scopus subject areas

  • Biomedical Engineering

Fingerprint

Dive into the research topics of 'Ultrasound-guided characterization of interstitial ablated tissue using RF time series: Feasibility study'. Together they form a unique fingerprint.

Cite this