Efficient Extraction of Coronary Artery Vessels from Computed Tomography Angiography Images Using ResUnet and Vesselness

Efficient Extraction of Coronary Artery Vessels from Computed Tomography Angiography Images Using ResUnet and Vesselness

Accurate and efficient segmentation of coronary arteries from CTA images is crucial for diagnosing and treating cardiovascular diseases. This study proposes a structured approach that combines vesselness enhancement, heart region of interest (ROI) extraction, and the ResUNet deep learning method to...

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Bibliographic Details
Main Authors: Omar Ibrahim Alirr, Hamada R. H. Al-Absi, Abduladhim Ashtaiwi, Tarek Khalifa
Format: Article
Language:English
Published: MDPI AG 2024-07-01
Series:Bioengineering
Subjects:
deep learning
coronary artery segmentation
U-net
CTA images
cardiovascular disease
Online Access:https://www.mdpi.com/2306-5354/11/8/759

Internet

https://www.mdpi.com/2306-5354/11/8/759

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