NDLI: Ultrasound-Guided Characterization of Interstitial Ablated Tissue Using RF Time Series: Feasibility Study

Content Provider	IEEE Xplore Digital Library
Author	Imani, F. Abolmaesumi, P. Wu, M.Z. Lasso, A. Burdette, E.C. Ghoshal, G. Heffter, T. Williams, E. Neubauer, P. Fichtinger, G. Mousavi, P.
Copyright Year	1964
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.
Sponsorship	IEEE Engineering in Medicine and Biology Society
Page Count	11
File Size	1227452
Starting Page	1608
Ending Page	1618
File Format	PDF
ISSN	00189294
Volume Number	60
Issue Number	6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Radio frequency Time series analysis Ultrasonic imaging Feature extraction Transducers Accuracy Tumors ultrasound RF time series Characterization of ablated tissue region tissue ablation
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering

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