Method and apparatus for remote tissue identification by statistical modeling and hypothesis testing of echo ultrasound signals
Number of patents in Portfolio can not be more than 2000
United States of America Patent
Stats
-
Sep 24, 1985
Grant Date -
N/A
app pub date -
Mar 23, 1983
filing date -
Mar 23, 1983
priority date (Note) -
Expired
status (Latency Note)
Importance
Abstract
Apparatus and methods for remote identification of tissue types model the scattering of ultrasound energy from living tissue as an autoregressive or autoregressive moving average random process. Autoregressive or autoregressive moving average models of candidate tissue types are generated from pulse-echo data that is known to come from that particular tissue type. Kalman prediction error filters are used for each candidate tissue type to generate estimates of the probability that an unknown pulse echo signal belongs to the class generated by that tissue type. Unknown pulse-echo signals are filtered in a specific Kalman filter to test the hypothesis that the unknown signal belongs to the class associated with that particular Kalman filter.
First Claim
Family
International Classification(s)
Cited Art Landscape
Patent Citation Ranking
Advertisement
Advertisement
Advertisement
Recipient Email Address
Recipient Email Address
Comment
Recipient Email Address
Add to Portfolio(s)
To add this patent to one, or more, of your portfolios, simply click the add button.
This Patent is in these Portfolios:
Add to additional portfolios:
Last Refreshed On:
Changes done successfully