Semi-Automated Segmentation of the Tumor Vasculature in Contrast-Enhanced Ultrasound Data

The vascular architecture in tumors contains relevant information for tumor classification and evaluation of therapy responses. To develop a reliable and user-independent analysis tool, a foreground detection algorithm was combined with a maximum-intensity projection to obtain a high signal-to-noise image from contrast-enhanced B-mode data sets, enabling vessel segmentation by thresholding. Parameters describing the density of the vascular network, the number of vessels and the number of branches were extracted.
Source: Ultrasound in Medicine and Biology - Category: Radiology Authors: Tags: Technical Note Source Type: research