C.N. Liu, Mostafa Fatemi, et al.
IEEE T-MI
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.
C.N. Liu, Mostafa Fatemi, et al.
IEEE T-MI
Dan Chevion, Eugene Walach, et al.
TAGA 2008
Pavel Kisilev, Sharbell Hashoul, et al.
SPIE Medical Imaging 2014
Richard Casey, David Ferguson, et al.
Machine Vision and Applications