Multiformat video and laser cameras: History, design considerations, acceptance testing, and quality control. Report of AAPM Diagnostic X-Ray Imaging Committee Task Group No. 1

1993 ◽  
Vol 20 (2) ◽  
pp. 427-438 ◽  
Author(s):  
Joel E. Gray ◽  
Walter F. Anderson ◽  
Chris C. Shaw ◽  
S. Jeff Shepard ◽  
Loren A. Zeremba ◽  
...  
2013 ◽  
Vol 17 (3) ◽  
pp. 84-88
Author(s):  
Geoffrey K. Korir ◽  
Jeska S. Wambani ◽  
Ian K. Korir ◽  
Mark Tries ◽  
Beatrice M. Mulama

Background: The use of X-ray imaging is ever increasing in proportion to the need for radiological services and technological capabilities. Quality management that includes patient radiation dose monitoring is fundamental to safety and quality improvement of radiological services.Objective: To assess the level of quality management systems in X-ray medical facilities in Kenya.Methods: Quality management inspection, quality control performance tests and patient radiation exposure were assessed in 54 representative X-ray medical facilities. Additionally, a survey of X-ray examination frequency was conducted in 140 hospitals across the country.Results: The overall findings placed the country’s X-ray imaging quality management systems at 61±3% out of a possible 100%. The most and the least quality assurance performance indicators were general radiography X-ray equipment quality control tests at 88±4%, and the interventional cardiology adult examinations below diagnostic reference level at 25±1%, respectively.Conclusions: The study used a systematic evidence-based approach for the assessment of national quality management systems in radiological practice in clinical application, technical conduct of the procedure, image quality criteria, and patient characteristics as part of the quality management programme.


2020 ◽  
Vol 75 (10) ◽  
pp. 531
Author(s):  
SADA Head Office

Members have been receiving notification from Inspection Bodies about their X-ray equipment being due for inspection. On enquiry, it has been discovered that, in some instances, this notice was based on erroneous data that Inspection bodies may have received from the Radiation Control, who had not correctly updated their records, due to "a lack of manpower". SADA strongly advises members who receive this notification to check their documentation before booking said inspections and, if the notification is incorrect, to request their usual inspection body to correct their records. SADA has serious concerns about the current legal framework and enforcement of the Act governing X-ray equipment. It questions the Code of Practice and more particularly, the legal standing of inspection bodies, licensing delays and the entire legislative framework. To this end, SADA has made an extensive written submission to the Minister of Health raising our concerns. In the meantime, as the legislative framework applies to practitioner, in its flawed framework, we provide members useful information for the benefit of members around the whole issue of licensing and testing of X-ray equipment so that members are properly informed when receiving notices of inspections or having to licence their new or used X-ray equipment.


2012 ◽  
Vol 39 (7Part1) ◽  
pp. 4414-4422 ◽  
Author(s):  
T. Hasegawa ◽  
K. Oda ◽  
Y. Sato ◽  
H. Ito ◽  
S. Masuda ◽  
...  
Keyword(s):  
X Ray ◽  

2015 ◽  
Vol 36 (4) ◽  
pp. 2565 ◽  
Author(s):  
Margareth Kazuyo Kobayashi Dias Franco ◽  
Fabiano Yokaichiya ◽  
Nikolay Kardjilov ◽  
Antônio Carlos Ferraz

Author(s):  
Qianru Zhang ◽  
Meng Zhang ◽  
Chinthaka Gamanayake ◽  
Chau Yuen ◽  
Zehao Geng ◽  
...  

AbstractWith the improvement of electronic circuit production methods, such as reduction of component size and the increase of component density, the risk of defects is increasing in the production line. Many techniques have been incorporated to check for failed solder joints, such as X-ray imaging, optical imaging and thermal imaging, among which X-ray imaging can inspect external and internal defects. However, some advanced algorithms are not accurate enough to meet the requirements of quality control. A lot of manual inspection is required that increases the specialist workload. In addition, automatic X-ray inspection could produce incorrect region of interests that deteriorates the defect detection. The high-dimensionality of X-ray images and changes in image size also pose challenges to detection algorithms. Recently, the latest advances in deep learning provide inspiration for image-based tasks and are competitive with human level. In this work, deep learning is introduced in the inspection for quality control. Four joint defect detection models based on artificial intelligence are proposed and compared. The noisy ROI and the change of image dimension problems are addressed. The effectiveness of the proposed models is verified by experiments on real-world 3D X-ray dataset, which saves the specialist inspection workload greatly.


1992 ◽  
Vol 19 (1) ◽  
pp. 231-241 ◽  
Author(s):  
L. K. Wagner ◽  
Doracy P. Fontenla ◽  
Carolyn Kimme-Smith ◽  
Lawrence N. Rothenberg ◽  
Jeff Shepard ◽  
...  

Author(s):  
A. A. Dovganich ◽  
A. V. Khvostikov ◽  
A. S. Krylov ◽  
L. E. Parolina

Author(s):  
M.G. Baldini ◽  
S. Morinaga ◽  
D. Minasian ◽  
R. Feder ◽  
D. Sayre ◽  
...  

Contact X-ray imaging is presently developing as an important imaging technique in cell biology. Our recent studies on human platelets have demonstrated that the cytoskeleton of these cells contains photondense structures which can preferentially be imaged by soft X-ray imaging. Our present research has dealt with platelet activation, i.e., the complex phenomena which precede platelet appregation and are associated with profound changes in platelet cytoskeleton. Human platelets suspended in plasma were used. Whole cell mounts were fixed and dehydrated, then exposed to a stationary source of soft X-rays as previously described. Developed replicas and respective grids were studied by scanning electron microscopy (SEM).


Sign in / Sign up

Export Citation Format

Share Document