Quantification of common carotid artery and descending aorta vessel wall thickness from MR vessel wall imaging using a fully automated processing pipeline

2016 ◽  
Vol 45 (1) ◽  
pp. 215-228 ◽  
Author(s):  
Shan Gao ◽  
Ronald van 't Klooster ◽  
Anne Brandts ◽  
Stijntje D. Roes ◽  
Reza Alizadeh Dehnavi ◽  
...  
2019 ◽  
Vol 62 (2) ◽  
pp. 221-221
Author(s):  
Mingming Lu ◽  
Fei Yuan ◽  
Lichen Zhang ◽  
Peng Peng ◽  
Huiyu Qiao ◽  
...  

2019 ◽  
Vol 62 (2) ◽  
pp. 211-220 ◽  
Author(s):  
MingmingLu ◽  
Fei Yuan ◽  
Lichen Zhang ◽  
Peng Peng ◽  
Huiyu Qiao ◽  
...  

2019 ◽  
Vol 47 (2) ◽  
pp. 121-125
Author(s):  
Kazumichi YOSHIDA ◽  
Takeshi FUNAKI ◽  
Takayuki KIKUCHI ◽  
Yohei TAKENOBU ◽  
Akira ISHII ◽  
...  

2020 ◽  
Vol 78 (10) ◽  
pp. 642-650
Author(s):  
Felipe Torres PACHECO ◽  
Luiz Celso Hygino da CRUZ JUNIOR ◽  
Igor Gomes PADILHA ◽  
Renato Hoffmann NUNES ◽  
Antônio Carlos Martins MAIA JUNIOR ◽  
...  

ABSTRACT Intracranial vessel wall imaging plays an increasing role in diagnosing intracranial vascular diseases. With the growing demand and subsequent increased use of this technique in clinical practice, radiologists and neurologists should be aware of the choices in imaging parameters and how they affect image quality, clinical indications, methods of assessment, and limitations in the interpretation of these images. Due to the improvement of the MRI techniques, the possibility of accurate and direct evaluation of the abnormalities in the arterial vascular wall (vessel wall imaging) has evolved, adding substantial data to diagnosis when compared to the indirect evaluation based on conventional flow analyses. Herein, the authors proposed a comprehensive approach of this technique reinforcing appropriated clinical settings to better use intracranial vessel wall imaging.


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