title: Applications of mixture laws for predicting the compositions of tissue phantoms.
abstract: This paper generalizes the mixture law methodology for ultrasonic tissue characterization by combining mixture laws used by Apfel and Seghal et al. in producing nine different combinations. After applying these combinations of mixture laws to 10 tissue phantoms, it is shown that three of the combinations consistently give better predictions of the composition of the phantoms than others. The results verify directly that the phase shift parameter law is probably not a good choice in predicting tissue composition. The potential uses of the mixture methodology are discussed.
authors.affiliation: Department of Mechanical Engineering, Yale University, New Haven, CT 06520.
authors.forename: P
authors.initials: P
authors.lastname: Jiang
authors.forename: E C
authors.initials: EC
authors.lastname: Everbach
authors.forename: R E
authors.initials: RE
authors.lastname: Apfel
mesh_terms: D008961:Models, Structural; D014463:Ultrasonography