| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 723356 | IFAC Proceedings Volumes | 2006 | 5 Pages |
Classical acoustic parameters (wavespeed, attenuation and backscattering coefficients and mean scatterer spacing) have been used in the characterisation of biological tissue pathologies. Liver fibrosis is a common disease, classified according to the Metavir Scale (from F0: normal, to F4: cirrhosis). The present work evaluates fibrosis discrimination by combining the mentioned parameters and applying a discriminant analysis on ultrasonic backscattering signals from 20 in vitro human liver samples. The highest correct classification percentages (85-90%) happened for parameters combination in groups of there. The limits and potentiality of the study are also discussed. A greater number of samples and non-linear classification methods are presently being pursued.
