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Author Moradi, M. ♦ Mousavi, P. ♦ Boag, A.H. ♦ Sauerbrei, E.E. ♦ Siemens, D.R. ♦ Abolmaesumi, P.
Sponsorship IEEE Engineering in Medicine and Biology Society
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1964
Language English
Subject Domain (in DDC) Technology ♦ Medicine & health ♦ Engineering & allied operations
Subject Keyword Cancer detection ♦ Prostate cancer ♦ Ultrasonic imaging ♦ Support vector machines ♦ Radio frequency ♦ Support vector machine classification ♦ Image analysis ♦ Time series analysis ♦ Biopsy ♦ Probes ♦ ultrasound ♦ RF time series ♦ support vector machines ♦ tissue typing
Abstract We propose a novel and accurate method based on ultrasound RF time series analysis and an extended version of support vector machine classification for generating probabilistic cancer maps that can augment ultrasound images of prostate and enhance the biopsy process. To form the RF time series, we record sequential ultrasound RF echoes backscattered from tissue while the imaging probe and the tissue are stationary in position. We show that RF time series acquired from agar-gelatin-based tissue mimicking phantoms, with difference only in the size of cell-mimicking microscopic glass beads, are distinguishable with statistically reliable accuracies up to 80.5%. This fact indicates that the differences in tissue microstructures affect the ultrasound RF time series features. Based on this phenomenon, in an <i>ex</i> <i>vivo</i> study involving 35 prostate specimens, we show that the features extracted from RF time series are significantly more accurate and sensitive compared to two other established categories of ultrasound-based tissue typing methods. We report an area under receiver operating characteristic curve of 0.95 in tenfold cross validation and 0.82 in leave-one-patient-out cross validation for detection of prostate cancer.
Description Author affiliation :: Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC, Canada
ISSN 00189294
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2009-09-01
Publisher Place U.S.A.
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Volume Number 56
Issue Number 9
Size (in Bytes) 631.34 kB
Page Count 11
Starting Page 2214
Ending Page 2224


Source: IEEE Xplore Digital Library