Due to the high complexity of vascular system network, the geometry reconstruction of vasculatures from raw medical datasets remains a very challenging task. In this paper, we present a novel skeleton-based method for the geometry reconstruction of vascular structures from standard 3D medical datasets. With the proposed techniques, the geometry of vascular structures with high level of smoothness and accuracy can be reconstructed from the raw medical datasets. The experimental results and comparison with other techniques demonstrate that our method can achieve faithful and smooth vascular structures. In addition, quantitative validation has been conducted to evaluate the accuracy and smoothness of the reconstructed vessel geometry based on the proposed method.
['Qingqi Hong', 'Yan Li', 'Qingde Li', 'Beizhan Wang', 'Junfeng Yao', 'Qingqiang Wu', 'Yingying She']
An implicit skeleton-based method for the geometry reconstruction of vasculatures