Not all scans are equal: X-ray tomography image quality evaluation

2020 ◽  
Vol 22 ◽  
pp. 100792 ◽  
Author(s):  
A. du Plessis ◽  
M. Tshibalanganda ◽  
S.G. le Roux
Keyword(s):  
Image Quality ◽  
Quality Evaluation ◽  
Image Quality Evaluation ◽  
X Ray ◽  
Tomography Image

Application of newly developed Fluoro-QC software for image quality evaluation in cardiac X-ray systems

Radiography ◽  
2018 ◽  
Vol 24 (2) ◽  
pp. e44-e47
Author(s):  
M. Oliveira ◽  
G. Lopez ◽  
P. Geambastiani ◽  
C. Ubeda
Keyword(s):  
Image Quality ◽  
Quality Evaluation ◽  
Image Quality Evaluation ◽  
X Ray

Image quality evaluation of a selenium-based flat-panel digital x-ray detector system based on animal studies

2000 ◽  
Author(s):  
Shinichi Yamada ◽  
Hiroko Umazaki ◽  
Akihito Takahashi ◽  
Michitaka Honda ◽  
Kunio Shiraishi ◽  
...  
Keyword(s):  
Image Quality ◽  
Animal Studies ◽  
Quality Evaluation ◽  
Detector System ◽  
Flat Panel ◽  
Image Quality Evaluation ◽  
X Ray

Image quality evaluation of YVO4:Eu phosphor screens for use in x-ray medical imaging detectors

1998 ◽  
Vol 29 (5) ◽  
pp. 481-486 ◽  
Author(s):  
I. Kandarakis ◽  
D. Cavouras ◽  
E. Kanellopoulos ◽  
C.D. Nomicos ◽  
G.S. Panayiotakis
Keyword(s):  
Image Quality ◽  
Medical Imaging ◽  
Quality Evaluation ◽  
Image Quality Evaluation ◽  
X Ray ◽  
Imaging Detectors ◽  
Phosphor Screens

Quantitative image quality evaluation of an order-statistic filter in x-ray fluoroscopic imaging

2000 ◽  
Author(s):  
David L. Wilson ◽  
Yogesh Srinivas ◽  
Francisco J. Sanchez-Marin ◽  
Kadri N. Jabri
Keyword(s):  
Image Quality ◽  
Order Statistic ◽  
Quality Evaluation ◽  
Image Quality Evaluation ◽  
X Ray ◽  
Quantitative Image ◽  
Fluoroscopic Imaging

A Study on the X-Ray Image Quality Evaluation Method Based on Weighted Local Entropy

2011 ◽  
Vol 467-469 ◽  
pp. 462-468
Author(s):  
Qi Zhou Wu ◽  
Jing Zhou ◽  
Bin Liu
Keyword(s):  
Image Quality ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Imaging System ◽  
Detection System ◽  
Local Entropy ◽  
Image Quality Evaluation ◽  
X Ray ◽  
Object Distance ◽  
Imaging Results

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.

scholarly journals Image quality evaluation of eight complementary metal-oxide semiconductor intraoral digital X-ray sensors

2016 ◽  
Vol 66 (5) ◽  
pp. 264-271 ◽  
Author(s):  
Sorin Teich ◽  
Wisam Al-Rawi ◽  
Masahiro Heima ◽  
Fady F. Faddoul ◽  
Gil Goldzweig ◽  
...  
Keyword(s):  
Image Quality ◽  
Metal Oxide ◽  
Quality Evaluation ◽  
Complementary Metal Oxide Semiconductor ◽  
Metal Oxide Semiconductor ◽  
Oxide Semiconductor ◽  
Image Quality Evaluation ◽  
X Ray

SU-D-204-06: Dose and Image Quality Evaluation of a Low-Dose Slot-Scanning X-Ray System for Pediatric Orthopedic Studies

2015 ◽  
Vol 42 (6) ◽  
pp. 3217-3218
Author(s):  
Z Liu ◽  
M Hoerner ◽  
R Lamoureux ◽  
L Rill ◽  
M Arreola
Keyword(s):  
Image Quality ◽  
Quality Evaluation ◽  
Low Dose ◽  
Image Quality Evaluation ◽  
X Ray ◽  
Pediatric Orthopedic
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