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Proceedings Paper

Two-dimensional and three-dimensional tissue-type imaging of the prostate based on ultrasonic spectrum analysis and neural network classification
Author(s): Ernest Joseph Feleppa; William R. Fair; Tian Liu; Andrew Kalisz; William Gnadt; Frederick L. Lizzi; K. C. Balaji; Christopher R. Porter; Harold Tsai
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Paper Abstract

Spectrum analysis of ultrasonic radio-frequency echo signals has proven to be an effective means of characterizing tissues of the eye and liver, thrombi, plaque, etc. Such characterization can be of value in detecting, differentiating, and monitoring disease. In some clinical applications, linear methods of tissue classification cannot adequately differentiate among the various manifestations of cancerous and non-cancerous tissue; in these cases, non-linear methods, such as neural-networks, are required for tissue typing. Combining spectrum-analysis methods for quantitatively characterizing tissue properties with neural-network methods for classifying tissue, a powerful new means of guiding biopsies, targeting therapy, and monitoring treatment may be available. Current studies are investigating potential applications of these methods that use novel tissue-typing images presented in two and three dimensions. Results to date show significant sensitivity improvements of possible benefit in cancer detection and effective tissue-type imaging that promise improved means of planning and monitoring treatment of prostate cancer.

Paper Details

Date Published: 12 April 2000
PDF: 9 pages
Proc. SPIE 3982, Medical Imaging 2000: Ultrasonic Imaging and Signal Processing, (12 April 2000); doi: 10.1117/12.382220
Show Author Affiliations
Ernest Joseph Feleppa, Riverside Research Institute (United States)
William R. Fair, Memorial Sloan-Kettering Cancer Ctr. (United States)
Tian Liu, New York Presbyterian Medical Ctr. (United States)
Andrew Kalisz, Riverside Research Institute (United States)
William Gnadt, Riverside Research Institute (United States)
Frederick L. Lizzi, Riverside Research Institute (United States)
K. C. Balaji, Univ. of Southern Illinois (United States)
Christopher R. Porter, Veterans Administration Medical Ctr./Washington, D.C. (United States)
Harold Tsai, Kaisar-Permanente (United States)


Published in SPIE Proceedings Vol. 3982:
Medical Imaging 2000: Ultrasonic Imaging and Signal Processing
K. Kirk Shung; Michael F. Insana, Editor(s)

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