Respiratory motion blur identification and reduction in ungated thoracic PET imaging

2011 ◽  
Vol 56 (14) ◽  
pp. 4481-4498 ◽  
Author(s):  
Quansheng Xu ◽  
Kehong Yuan ◽  
Datian Ye
2012 ◽  
Vol 42 (1) ◽  
pp. 8-18 ◽  
Author(s):  
Quansheng Xu ◽  
Kangning Xie ◽  
Kehong Yuan ◽  
Lijuan Yu ◽  
Wenzhi Wang ◽  
...  

2011 ◽  
Vol 474-476 ◽  
pp. 1578-1582
Author(s):  
Shou Bing Xiang ◽  
Jin Ping He ◽  
Guang Da Su

In this paper, based on the series of test images which are synthesized through the linear motion blur model with continue variable parameters, we define the sensitivity of image definition assessments. Experimental data are presented that the validity of definition assessments for motion blur identification closely relates to the sensitivity of definition assessments. The higher the sensitivity is, the better the validity of definition assessments for identification performs.


2004 ◽  
Vol 25 (4) ◽  
pp. 406
Author(s):  
L. Livieratos ◽  
L. Stegger ◽  
K. Schafers ◽  
D.L. Bailey ◽  
P.G. Camici

2017 ◽  
Vol 62 (11) ◽  
pp. 4496-4513 ◽  
Author(s):  
Jing Tang ◽  
Xinhui Wang ◽  
Xiangzhen Gao ◽  
W Paul Segars ◽  
Martin A Lodge ◽  
...  

2007 ◽  
Author(s):  
Clovis Tauber ◽  
Zehor Ouksili ◽  
Julia Nallis ◽  
Hadj Batatia ◽  
Olivier Caselles ◽  
...  

Author(s):  
R.A. Isoardi ◽  
C. Comtat ◽  
V. Frouin ◽  
T. Delzescaux ◽  
R. Trebossen

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