Two-dimensional and three-dimensional tissue-type imaging of the prostate based on ultrasonic spectrum analysis and neural network classification

Ernest Joseph Feleppa; William R. Fair; Tian Liu; Andrew Kalisz; William Gnadt; Frederick L. Lizzi; K. C. Balaji; Christopher R. Porter; Harold Tsai

doi:10.1117/12.382220

12 April 2000 Two-dimensional and three-dimensional tissue-type imaging of the prostate based on ultrasonic spectrum analysis and neural network classification

Ernest Joseph Feleppa, William R. Fair, Tian Liu, Andrew Kalisz, William Gnadt, Frederick L. Lizzi, K. C. Balaji, Christopher R. Porter, Harold Tsai

Author Affiliations +

Proceedings Volume 3982, Medical Imaging 2000: Ultrasonic Imaging and Signal Processing; (2000) https://doi.org/10.1117/12.382220
Event: Medical Imaging 2000, 2000, San Diego, CA, United States

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.

Citation Download Citation

Ernest Joseph Feleppa, William R. Fair, Tian Liu, Andrew Kalisz, William Gnadt, Frederick L. Lizzi, K. C. Balaji, Christopher R. Porter, and Harold Tsai "Two-dimensional and three-dimensional tissue-type imaging of the prostate based on ultrasonic spectrum analysis and neural network classification", Proc. SPIE 3982, Medical Imaging 2000: Ultrasonic Imaging and Signal Processing, (12 April 2000); https://doi.org/10.1117/12.382220

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