Pavel Kisilev, Daniel Freedman, et al.
ICPR 2012
This paper describes a novel technique for estimating ultrasonic attenuation coefficients. The technique first employs a histogram analysis to estimate the number of tissues present and then utilizes a maximum likelihood criterion to assign attenuation values, thus producing an image of attenuation. Simulated B-scan data and clinical B-scan data are used to illustrate the method. The results show that images representing an intrinsic tissue parameter can be produced when the basic model is valid. Copyright © 1986 by The Institute of Electrical and Electronics Engineers, Inc.
Pavel Kisilev, Daniel Freedman, et al.
ICPR 2012
Eugene Walach, Ascher Shmulewitz, et al.
IEEE T-BME
Eugene Walach
IEEE Transactions on Acoustics, Speech, and Signal Processing
Dan Chevion, Ehud D. Karnin, et al.
DCC 1991