Add to ORKGQuality control (QC) tests play a crucial role for patients' dose management in diagnostic radiography. X-ray tube focal spot size is the most important index for QC of x-ray machines. The focal spot size is typically estimated using pinhole or the star pattern. However, the results by such the techniques are rather subjective. This disadvantage could be decreased in digital radiography when an image brightness distribution histogram is in use. Average value of brightness correlates to the focal spot size (significance 0.99). This technique does not require any test object. The results demonstrate that the above approach could become an important part of the QC for digital x-ray diagnostic radiography equipment
Quantitative and qualitative analysis of NDE radiograph film is often accomplished using image proce...
This paper describes a digital radiography (DR) quality control protocol for DR detectors from the f...
Purpose: To evaluate if physical measures of noise predict image quality at high and low noise level...
Purpose: The quality of a radiography system is affected by several factors, a major one being the ...
The upper inset is an example shot of a 6 second exposure which contained 9 duplicate images of the ...
Purpose: The goal of this study is to evaluate a new method based on a coded aperture mask combined ...
The measured focal spot size was consistently the smallest at 45 kV tube voltage for all SLDs. The s...
An x-ray digital imaging technology in use in xray diagnostics makes it possible to achieve a digita...
Purpose To determine how kilovoltage (kV), milliampere seconds (mAs), and focal spot size affect per...
Up to date, several different approaches are proposed in standards and guidelines to determine the s...
An x-ray digital imaging technology makes possible to achieve an evaluation of x-ray image quality b...
The purpose of quality control (QC) is to detect changes in the performance of a gamma camera system...
In recent years, X-ray computed tomography (XCT) has successfully entered the field of dimensional m...
An important aspect of the workshop on optimisation of image quality and patient exposure in diagnos...
Visibility of low-contrast details in fluoroscopy and interventional radiology is important. Assessi...
Quantitative and qualitative analysis of NDE radiograph film is often accomplished using image proce...
This paper describes a digital radiography (DR) quality control protocol for DR detectors from the f...
Purpose: To evaluate if physical measures of noise predict image quality at high and low noise level...
Purpose: The quality of a radiography system is affected by several factors, a major one being the ...
The upper inset is an example shot of a 6 second exposure which contained 9 duplicate images of the ...
Purpose: The goal of this study is to evaluate a new method based on a coded aperture mask combined ...
The measured focal spot size was consistently the smallest at 45 kV tube voltage for all SLDs. The s...
An x-ray digital imaging technology in use in xray diagnostics makes it possible to achieve a digita...
Purpose To determine how kilovoltage (kV), milliampere seconds (mAs), and focal spot size affect per...
Up to date, several different approaches are proposed in standards and guidelines to determine the s...
An x-ray digital imaging technology makes possible to achieve an evaluation of x-ray image quality b...
The purpose of quality control (QC) is to detect changes in the performance of a gamma camera system...
In recent years, X-ray computed tomography (XCT) has successfully entered the field of dimensional m...
An important aspect of the workshop on optimisation of image quality and patient exposure in diagnos...
Visibility of low-contrast details in fluoroscopy and interventional radiology is important. Assessi...
Quantitative and qualitative analysis of NDE radiograph film is often accomplished using image proce...
This paper describes a digital radiography (DR) quality control protocol for DR detectors from the f...
Purpose: To evaluate if physical measures of noise predict image quality at high and low noise level...