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 ◽  
...  
Keyword(s):  
Quality Control ◽  
Task Group ◽  
Acceptance Testing ◽  
X Ray ◽  
Design Considerations ◽  
X Ray Imaging ◽  
Laser Cameras

scholarly journals Quality management systems in radiology

2013 ◽  
Vol 17 (3) ◽  
pp. 84-88
Author(s):  
Geoffrey K. Korir ◽  
Jeska S. Wambani ◽  
Ian K. Korir ◽  
Mark Tries ◽  
Beatrice M. Mulama
Keyword(s):  
Quality Control ◽  
Quality Management ◽  
Management Systems ◽  
Reference Level ◽  
Quality Management Systems ◽  
X Ray ◽  
Dose Monitoring ◽  
X Ray Imaging ◽  
National Quality ◽  
Medical Facilities

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.

scholarly journals SADA communique to members - Licence and quality control tests for dental diagnostic X-ray imaging systems

2020 ◽  
Vol 75 (10) ◽  
pp. 531
Author(s):  
SADA Head Office
Keyword(s):  
Quality Control ◽  
Legal Framework ◽  
Imaging Systems ◽  
X Ray ◽  
Code Of Practice ◽  
Radiation Control ◽  
Legal Standing ◽  
X Ray Imaging ◽  
Legislative Framework ◽  
Erroneous Data

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.

Microfocus x-ray imaging of traceable pointlike 22 Na sources for quality control

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

scholarly journals Deep learning based solder joint defect detection on industrial printed circuit board X-ray images

2022 ◽  
Author(s):  
Qianru Zhang ◽  
Meng Zhang ◽  
Chinthaka Gamanayake ◽  
Chau Yuen ◽  
Zehao Geng ◽  
...  
Keyword(s):  
Quality Control ◽  
Deep Learning ◽  
Defect Detection ◽  
Printed Circuit Board ◽  
Circuit Board ◽  
Image Size ◽  
X Ray ◽  
Component Size ◽  
Image Dimension ◽  
X Ray Imaging

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.

scholarly journals Microfocus X-ray imaging of Brazil nuts for quality control

2015 ◽  
Vol 36 (4) ◽  
pp. 2565 ◽  
Author(s):  
Margareth Kazuyo Kobayashi Dias Franco ◽  
Fabiano Yokaichiya ◽  
Nikolay Kardjilov ◽  
Antônio Carlos Ferraz
Keyword(s):  
Quality Control ◽  
X Ray ◽  
Brazil Nuts ◽  
X Ray Imaging

scholarly journals Automatic Quality Control in Lung X-Ray Imaging with Deep Learning

2021 ◽  
Author(s):  
A. A. Dovganich ◽  
A. V. Khvostikov ◽  
A. S. Krylov ◽  
L. E. Parolina
Keyword(s):  
Quality Control ◽  
Deep Learning ◽  
X Ray ◽  
X Ray Imaging ◽  
Automatic Quality Control

scholarly journals Recommendations on performance characteristics of diagnostic exposure meters: Report of AAPM Diagnostic X-Ray Imaging Task Group No. 6

1992 ◽  
Vol 19 (1) ◽  
pp. 231-241 ◽  
Author(s):  
L. K. Wagner ◽  
Doracy P. Fontenla ◽  
Carolyn Kimme-Smith ◽  
Lawrence N. Rothenberg ◽  
Jeff Shepard ◽  
...  
Keyword(s):  
Performance Characteristics ◽  
Task Group ◽  
X Ray ◽  
X Ray Imaging

Defects of Platelet Function Recognized by X-Ray Imaging and Scanning Electron Microscopy

1985 ◽  
Vol 43 ◽  
pp. 610-613
Author(s):  
M.G. Baldini ◽  
S. Morinaga ◽  
D. Minasian ◽  
R. Feder ◽  
D. Sayre ◽  
...  
Keyword(s):  
Electron Microscopy ◽  
Scanning Electron Microscopy ◽  
Cell Biology ◽  
Imaging Technique ◽  
Human Platelets ◽  
X Rays ◽  
X Ray ◽  
X Ray Imaging ◽  
Complex Phenomena ◽  
Scanning Electron

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).

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