Learning‐based automated segmentation of the carotid artery vessel wall in dual‐sequence MRI using subdivision surface fitting

Purpose The quantification of vessel wall morphology and plaque burden requires vessel segmentation, which is generally performed by manual delineations. The purpose of our work is to develop and evaluate a new 3D model‐based approach for carotid artery wall segmentation from dual‐sequence MRI. Meth...

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Veröffentlicht in:	Medical physics (Lancaster) 2017-10, Vol.44 (10), p.5244-5259
Hauptverfasser:	Gao, Shan, ‘t Klooster, Ronald, Kitslaar, Pieter H., Coolen, Bram F., van den Berg, Alexandra M., Smits, Loek P., Shahzad, Rahil, Shamonin, Denis P., de Koning, Patrick J.H., Nederveen, Aart J., Geest, Rob J.
Format:	Artikel
Sprache:	eng
Schlagworte:	3D segmentation 3D vessel wall MRI Adult Aged Automation Carotid Arteries - diagnostic imaging carotid bifurcation hierarchical‐tree model Humans Image Processing, Computer-Assisted - methods Machine Learning Magnetic Resonance Imaging Male Pattern Recognition, Automated subdivision surface
Online-Zugang:	Volltext
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