magnetic resonance parameter
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Deep model-based magnetic resonance parameter mapping network (DOPAMINE) for fast T1 mapping using variable flip angle method

2021 ◽  
Vol 70 ◽  
pp. 102017
Author(s):  
Yohan Jun ◽  
Hyungseob Shin ◽  
Taejoon Eo ◽  
Taeseong Kim ◽  
Dosik Hwang
Keyword(s):  
Magnetic Resonance ◽  
T1 Mapping ◽  
Resonance Parameter ◽  
Flip Angle ◽  
Variable Flip Angle ◽  
Parameter Mapping ◽  
Magnetic Resonance Parameter ◽  
Model Based ◽  
Deep Model ◽  
Angle Method

Magnetic resonance parameter mapping using model‐guided self‐supervised deep learning

2021 ◽  
Vol 85 (6) ◽  
pp. 3211-3226
Author(s):  
Fang Liu ◽  
Richard Kijowski ◽  
Georges El Fakhri ◽  
Li Feng
Keyword(s):  
Deep Learning ◽  
Magnetic Resonance ◽  
Resonance Parameter ◽  
Parameter Mapping ◽  
Magnetic Resonance Parameter

scholarly journals P298 Wall thickness ratio, a new magnetic resonance parameter, predicts the outcome of biological therapy in patients with ileal and ileocolonic Crohn’s disease

2019 ◽  
Vol 13 (Supplement_1) ◽  
pp. S248-S249
Author(s):  
P Balestrieri ◽  
M Ribolsi ◽  
A Tullio ◽  
E Solida ◽  
A Giordano ◽  
...  
Keyword(s):  
Crohn’S Disease ◽  
Magnetic Resonance ◽  
Crohn's Disease ◽  
Wall Thickness ◽  
Biological Therapy ◽  
Resonance Parameter ◽  
Thickness Ratio ◽  
Magnetic Resonance Parameter

scholarly journals Compressed sensing reconstruction for magnetic resonance parameter mapping

2010 ◽  
Vol 64 (4) ◽  
pp. 1114-1120 ◽  
Author(s):  
Mariya Doneva ◽  
Peter Börnert ◽  
Holger Eggers ◽  
Christian Stehning ◽  
Julien Sénégas ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Compressed Sensing ◽  
Resonance Parameter ◽  
Parameter Mapping ◽  
Magnetic Resonance Parameter
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