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Monitoring of Tissue Ablation Using Time Series of Ultrasound RF Data

  • Farhad Imani
  • Mark Z. Wu
  • Andras Lasso
  • Everett C. Burdette
  • Mohammad Daoud
  • Gabor Fitchinger
  • Purang Abolmaesumi
  • Parvin Mousavi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6891)

Abstract

Purpose: This paper is the first report on the monitoring of tissue ablation using ultrasound RF echo time series. Methods: We calcuate frequency and time domain features of time series of RF echoes from stationary tissue and transducer, and correlate them with ablated and non-ablated tissue properties. Results: We combine these features in a nonlinear classification framework and demonstrate up to 99% classification accuracy in distinguishing ablated and non-ablated regions of tissue, in areas as small as 12mm 2 in size. We also demonstrate significant improvement of ablated tissue classification using RF time series compared to the conventional approach of using single RF scan lines. Conclusions: The results of this study suggest RF echo time series as a promising approach for monitoring ablation, and capturing the changes in the tissue microstructure as a result of heat-induced necrosis.

Keywords

tissue ablation ablation monitoring RF timer series 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Farhad Imani
    • 1
  • Mark Z. Wu
    • 1
  • Andras Lasso
    • 1
  • Everett C. Burdette
    • 3
  • Mohammad Daoud
    • 2
  • Gabor Fitchinger
    • 1
  • Purang Abolmaesumi
    • 2
  • Parvin Mousavi
    • 1
  1. 1.Queen’s UniversityCanada
  2. 2.University of British ColumbiaCanada
  3. 3.Acoustic MedSystems IncorporationUSA

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