Physical Image Quality Evaluation of X-ray Detectors for Digital Radiography and Mammography

2017 ◽  
pp. 469-506
Author(s):  
Nicholas W. Marshall ◽  
Pascal Monnin
Radiography ◽  
2018 ◽  
Vol 24 (2) ◽  
pp. e44-e47
Author(s):  
M. Oliveira ◽  
G. Lopez ◽  
P. Geambastiani ◽  
C. Ubeda

2000 ◽  
Author(s):  
Shinichi Yamada ◽  
Hiroko Umazaki ◽  
Akihito Takahashi ◽  
Michitaka Honda ◽  
Kunio Shiraishi ◽  
...  

1998 ◽  
Vol 29 (5) ◽  
pp. 481-486 ◽  
Author(s):  
I. Kandarakis ◽  
D. Cavouras ◽  
E. Kanellopoulos ◽  
C.D. Nomicos ◽  
G.S. Panayiotakis

2020 ◽  
Vol 22 ◽  
pp. 100792 ◽  
Author(s):  
A. du Plessis ◽  
M. Tshibalanganda ◽  
S.G. le Roux

2000 ◽  
Author(s):  
David L. Wilson ◽  
Yogesh Srinivas ◽  
Francisco J. Sanchez-Marin ◽  
Kadri N. Jabri

2011 ◽  
Vol 467-469 ◽  
pp. 462-468
Author(s):  
Qi Zhou Wu ◽  
Jing Zhou ◽  
Bin Liu

In X-ray imaging system, with the change of parameters in material quality, volume, object distance and else of the target objects, manual adjustments of tube voltage and tube current are often needed to get ideal imaging results. Whereas human interventions are often subjective that cannot meet the automation development of X-ray detection system. In view of the above problems, a method for objective quality evaluation in images which is based on weighted local entropy is presented in the paper. Parameters adaptive adjustment in X-ray detection system can be based on this method. The validity of the approach is proved by experiment and comparative analysis with the traditional image quality evaluation function.


2016 ◽  
Vol 66 (5) ◽  
pp. 264-271 ◽  
Author(s):  
Sorin Teich ◽  
Wisam Al-Rawi ◽  
Masahiro Heima ◽  
Fady F. Faddoul ◽  
Gil Goldzweig ◽  
...  

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