Anatomical labeling of intracranial arteries with deep learning in patients with cerebrovascular disease

Anatomical labeling of intracranial arteries with deep learning in patients with cerebrovascular disease

Brain arteries are routinely imaged in the clinical setting by various modalities, e.g., time-of-flight magnetic resonance angiography (TOF-MRA). These imaging techniques have great potential for the diagnosis of cerebrovascular disease, disease progression, and response to treatment. Currently, how...

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Bibliographic Details
Main Authors: Adam Hilbert, Jana Rieger, Vince I. Madai, Ela M. Akay, Orhun U. Aydin, Jonas Behland, Ahmed A. Khalil, Ivana Galinovic, Jan Sobesky, Jochen Fiebach, Michelle Livne, Dietmar Frey
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Neurology
Subjects:
anatomical labeling
intracranial arteries
cerebrovascular
stroke
deep learning
UNET
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2022.1000914/full

Internet

https://www.frontiersin.org/articles/10.3389/fneur.2022.1000914/full

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