The Robust Vessel Segmentation and Centerline Extraction: One-Stage Deep Learning Approach

The Robust Vessel Segmentation and Centerline Extraction: One-Stage Deep Learning Approach

The accurate segmentation of blood vessels and centerline extraction are critical in vascular imaging applications, ranging from preoperative planning to hemodynamic modeling. This study introduces a novel one-stage method for simultaneous vessel segmentation and centerline extraction using a multit...

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Bibliographic Details
Main Authors: Rostislav Epifanov, Yana Fedotova, Savely Dyachuk, Alexandr Gostev, Andrei Karpenko, Rustam Mullyadzhanov
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Journal of Imaging
Subjects:
vessel centerline extraction
one-stage centerline reconstruction
vessel segmentation
multitask neural network
computed tomography angiography images
vascular modeling toolkit
Online Access:https://www.mdpi.com/2313-433X/11/7/209
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