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- W4238950214 abstract "Tissue characterisation using the parameter of nonlinearity B/A has shown promising diagnostic value in medical imaging. Its estimation usually infers an assumption of constant sound speed and density. However, an empirical result known as Ballou’s rule shows a significant correlation between the reciprocal sound speed and the parameter of nonlinearity for liquid metals. Since the 60’s, this result has been found also to be applicable for soft tissues as well with a high correlation (r = 0.83). The correlation between B/A and compressibility, the inverse bulk modulus, is just as strong (r ≥ 0.83) indicating that the product of the two can be beneficial for two main reasons. First, as the variables are highly correlated the variation in the product is larger than that of B/A by itself. This allows for a higher sensitivity as the separation between tissue types will be larger. Second, as methods for estimating B/A often assume constant sound speed and density, variations in these parameters result in uncertainty in the estimated B/A values. By estimating the product of B/A and compressibility instead, the accuracy of the estimate improves. There are multiple methods for estimating this product including the dual frequency SURF method (Hansen et al., JASA 2010)." @default.
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- W4238950214 date "2018-03-01" @default.
- W4238950214 modified "2023-10-17" @default.
- W4238950214 title "Exploiting Ballou’s rule for better tissue classification" @default.
- W4238950214 doi "https://doi.org/10.1121/1.5036303" @default.
- W4238950214 hasPublicationYear "2018" @default.
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