Automatic pulmonary artery-vein separation in CT images using a twin-pipe network and topology reconstruction.

ABSTRACT:

Background

With the wide application of CT scanning, the separation of pulmonary arteries and veins (A/V) based on CT images plays an important role for assisting surgeons in preoperative planning of lung cancer surgery. However, distinguishing between arteries and veins in chest CT images remains challenging due to the complex structure and the presence of their similarities.

Methods

We proposed a novel method for automatically separating pulmonary arteries and veins based on vessel topology information and a twin-pipe deep learning network. First, vessel tree topology is constructed by combining scale-space particles and multi-stencils fast marching (MSFM) methods to ensure the continuity and authenticity of the topology. Second, a twin-pipe network is designed to learn th

SUBMITTER: Pan L 

PROVIDER: S-EPMC10557495 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature