Figure 2
Workflow of data acquisition and data analysis for the top layer thickness estimation and tissue type classification. In the phantom study, DRS data was used as input for regression analysis, in which the top layer thickness was predicted. In the animal tissue study, two types of features were extracted from the DRS data. These features were used in a classification analysis to predict the tissue type of both the 1st and 2nd tissue layer and in a regression analysis to predict the top layer thickness. In addition, these results were compared to the results of using US imaging and using both techniques combined. Therefore, US images were acquired and structural features were extracted based on a graph-cut method.
