Automated identification of pulmonary arteries and veins depicted in non-contrast chest CT scans.

ABSTRACT: We present a novel integrative computerized solution to automatically identify and differentiate pulmonary arteries and veins depicted on chest computed tomography (CT) without iodinated contrast agents. We first identified the central extrapulmonary arteries and veins using a convolutional neural network (CNN) model. Then, a computational differential geometry method was used to automatically identify the tubular-like structures in the lungs with high densities, which we believe are the intrapulmonary vessels. Beginning with the extrapulmonary arteries and veins, we progressively traced the intrapulmonary vessels by following their skeletons and differentiated them into arteries and veins. Instead of manually labeling the numerous arteries and veins in the lungs for machine learning, this

SUBMITTER: Pu J 

PROVIDER: S-EPMC8901546 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature