Comparison between Physical Image Quality as Measured by a Newly Developed Phantom Dedicated for Digital Mammography QC and That by European Guidelines Methods
A quality control system for digital mammography consisting of a phantom for daily constancy test and software for image analysis and data management has been developed. The purpose of this study was to verify the measurement accuracy of the phantom and software, which was carried out by comparison of the result obtained from the method in accordance with European Guidelines for the following image characteristics; 1) Contrast to Noise Ratio (CNR) 2) Geometric distortion 3) Modulation Transfer Function (MTF) 4) Homogeneity 5) Missed tissue at chest wall side and 6) Threshold contrast visibility. In CNR and MTF, relative differences of 10% and 20% respectively were confirmed though, they were due to the difference in samples used for each measurement and in measurement position, and then those differences were identified as being no problem for the constancy test.
Notwithstanding the existence of a standard power plant training simulator acceptance criteria document, there is a continuing industry dialogue on the needs and merits of various improvements in simulator qualification. One recurring theme addresses the need to correlate model qualification requirements with training requirements. The basic objective of this project is the development of such an improved model qualification methodology, and identification of model development needs, based on this training objective perspective. This report presents the proposed improved criteria and methodology as developed to date and discusses their initial test-case application to two training simulator scenarios.