A Fully Automated Method for Segmenting Arteries and Quantifying Vessel Radii on Magnetic Resonance Angiography Images of Varying Projection Thickness

A Fully Automated Method for Segmenting Arteries and Quantifying Vessel Radii on Magnetic Resonance Angiography Images of Varying Projection Thickness

PurposePrecise quantification of cerebral arteries can help with differentiation and prognostication of cerebrovascular disease. Existing image processing and segmentation algorithms for magnetic resonance angiography (MRA) are limited to the analysis of either 2D maximum intensity projection images...

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Bibliographic Details
Main Authors: Sivakami Avadiappan, Seyedmehdi Payabvash, Melanie A. Morrison, Angela Jakary, Christopher P. Hess, Janine M. Lupo
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-06-01
Series:Frontiers in Neuroscience
Subjects:
MRA
segmentation
Frangi
vessels
radii
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2020.00537/full

Internet

https://www.frontiersin.org/article/10.3389/fnins.2020.00537/full

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