Creation of the Forearm 3D-model with Vessel and Estimation of Skin and Vessel in Ultrasonographic Images by using Deep Learning

Abstract

In this study, we developed an automatic detection algorithm of vessel and skin regions in a transversal ultrasonography image on the arm. We also developed an algorithm to generate 3D model from detected areas for training and assisting nurses' puncture on vein. In the algorithm, the candidate regions of vessel were detected using U-net, which is a kind of deep learning method for segmentation, and then appropriate regions were selected based on vessel properties. The skin regions were also detected using U-net. The 3D polygon data was created from paired pixels in sequential images. The experiments based on single arm scan data demonstrated that our developed model have capablity to detect vessel and skin regions and feasibility to confirm blood vessel running under arm surface.