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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...
Autores principales: | Avadiappan, Sivakami, Payabvash, Seyedmehdi, Morrison, Melanie A., Jakary, Angela, Hess, Christopher P., Lupo, Janine M. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
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 |
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