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

PURPOSE: Precise 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 imag...

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Detalles Bibliográficos
Autores principales: Avadiappan, Sivakami, Payabvash, Seyedmehdi, Morrison, Melanie A., Jakary, Angela, Hess, Christopher P., Lupo, Janine M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7308498/
https://www.ncbi.nlm.nih.gov/pubmed/32612496
http://dx.doi.org/10.3389/fnins.2020.00537

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7308498/
https://www.ncbi.nlm.nih.gov/pubmed/32612496
http://dx.doi.org/10.3389/fnins.2020.00537

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