scholarly journals Robust performance of deep learning for automatic detection and segmentation of brain metastases using three-dimensional black-blood and three-dimensional gradient echo imaging

Author(s):  
Yae Won Park ◽  
Yohan Jun ◽  
Yangho Lee ◽  
Kyunghwa Han ◽  
Chansik An ◽  
...  
1992 ◽  
Vol 2 (3) ◽  
pp. 359-364 ◽  
Author(s):  
Jeffrey S. Ross ◽  
Jean A. Tkach ◽  
John Dillinger ◽  
Paul M. Ruggieri ◽  
Thomas J. Masaryk ◽  
...  

2021 ◽  
Vol 136 ◽  
pp. 109577
Author(s):  
Shiori Amemiya ◽  
Hidemasa Takao ◽  
Shimpei Kato ◽  
Hiroshi Yamashita ◽  
Naoya Sakamoto ◽  
...  

1994 ◽  
Vol 35 (2) ◽  
pp. 131-134 ◽  
Author(s):  
Y. Suto ◽  
Y. Ohuchi ◽  
T. Kimura ◽  
T. Shirakawa ◽  
N. Mizuuchi ◽  
...  

In 2-D time-of-flight MR angiography (2-D TOF MRA) of the liver, artifacts caused by respiratory motion are unavoidable. Therefore, a 3-D black blood MRA of the liver was attempted in 7 healthy volunteers, using a 3-D gradient echo sequence which allows imaging during breath holding. 2-D TOF MRA was performed as well. In all subjects, 3-D MRA allowed visualization of the trunk, 1st-, and 2nd-order branches of the portal vein without interruption. Right 3rd-order branches were visualized without interruption in 6 of 7 subjects (85%). However, with 2-D MRA, the transverse portion of the left main portal vein could not be visualized in any subject, and the periphery of the portal vein was less clear than with 3-D MRA.


2008 ◽  
Vol 49 (10) ◽  
pp. 1167-1173 ◽  
Author(s):  
T. Takeda ◽  
A. Takeda ◽  
T. Nagaoka ◽  
E. Kunieda ◽  
K. Takemasa ◽  
...  

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