Automatic segmentation and reconstruction of lower-extremity arteries from computed tomography angiography images via a deep learning framework.

ABSTRACT:

Background

Preoperative lower extremity computed tomography angiography (CTA) is indispensable for planning free skin flap transplantation in patients with oral and maxillofacial tumors. However, there is a lack of dedicated automatic three-dimensional (3D) reconstruction tools of lower-extremity arteries from CTA images. Our study aimed to develop and validate an artificial intelligence (AI) model based on a 3D convolutional neural network (CNN) for automatic reconstruction of lower-extremity arteries from preoperative lower extremity CTA images.

Methods

This retrospective study included a dataset of lower extremity CTA images from 1,201 patients with oral or maxillofacial tumors between January 2015 and December 2023. A deep learning-based lower-extremity artery segmentati

SUBMITTER: Liu X 

PROVIDER: S-EPMC12591891 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature