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Proceedings Paper

Ultrasound RF time series for tissue typing: first in vivo clinical results
Author(s): Mehdi Moradi; S. Sara Mahdavi; Guy Nir; Edward C. Jones; S. Larry Goldenberg; Septimiu E. Salcudean
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Paper Abstract

The low diagnostic value of ultrasound in prostate cancer imaging has resulted in an effort to enhance the tumor contrast using ultrasound-based technologies that go beyond traditional B-mode imaging. Ultrasound RF time series, formed by echo samples originating from the same location over a few seconds of imaging, has been proposed and experimentally used for tissue typing with the goal of cancer detection. In this work, for the first time we report the preliminary results of in vivo clinical use of spectral parameters extracted from RF time series in prostate cancer detection. An image processing pipeline is designed to register the ultrasound data to wholemount histopathology references acquired from prostate specimens that are removed in radical prostatectomy after imaging. Support vector machine classification is used to detect cancer in 524 regions of interest of size 5×5 mm, each forming a feature vector of spectral RF time series parameters. Preliminary ROC curves acquired based on RF time series analysis for individual cases, with leave-one-patient-out cross validation, are presented and compared with B-mode texture analysis.

Paper Details

Date Published: 18 March 2013
PDF: 8 pages
Proc. SPIE 8670, Medical Imaging 2013: Computer-Aided Diagnosis, 86701I (18 March 2013); doi: 10.1117/12.2007672
Show Author Affiliations
Mehdi Moradi, The Univ. of British Columbia (Canada)
S. Sara Mahdavi, The Univ. of British Columbia (Canada)
Guy Nir, The Univ. of British Columbia (Canada)
Edward C. Jones, The Univ. of British Columbia (Canada)
S. Larry Goldenberg, The Univ. of British Columbia (Canada)
Septimiu E. Salcudean, The Univ. of British Columbia (Canada)


Published in SPIE Proceedings Vol. 8670:
Medical Imaging 2013: Computer-Aided Diagnosis
Carol L. Novak; Stephen Aylward, Editor(s)

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