Analysis of the hand’s small vessels based on MR angiography and level-set approach

Abstract

The article describes a method for segmentation and analysis of small blood hand vessels in 3D magnetic resonance contrast angiography data obtained with collaboration of Department of Diagnostic Imaging, Medical University of Lodz. The main algorithm used for vasculature extraction implements a 3D version of level-set method based on Chan-Vese mathematical model. The image analysis was performed for two different contrast agents. Preliminary segmentation results were presented and discussed, along with further research plans.