Automated segmentation of the individual branches of the carotid arteries in contrast-enhanced MR angiography using DeepMedic

Automated segmentation of the individual branches of the carotid arteries in contrast-enhanced MR angiography using DeepMedic

Abstract Background Non-invasive imaging is of interest for tracking the progression of atherosclerosis in the carotid bifurcation, and segmenting this region into its constituent branch arteries is necessary for analyses. The purpose of this study was to validate and demonstrate a method for segmen...

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Bibliographic Details
Main Authors: Magnus Ziegler, Jesper Alfraeus, Mariana Bustamante, Elin Good, Jan Engvall, Ebo de Muinck, Petter Dyverfeldt
Format: Article
Language:English
Published: BMC 2021-02-01
Series:BMC Medical Imaging
Subjects:
Atherosclerosis
Carotid arteries
Magnetic resonance imaging
Contrast-enhanced
Segmentation
Deep learning
Online Access:https://doi.org/10.1186/s12880-021-00568-6

Internet

https://doi.org/10.1186/s12880-021-00568-6

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