Abstract: The present disclosure relates to a method for carrying out dose delivery quality assurance for high-precision radiation treatment, in which parameters affecting a pass rate of dose delivery quality assurance can be derived through regression analysis, which is a known statistical analysis method, and a pass rate prediction model capable of predicting each parameter and the pass rate of dose delivery quality assurance can be derived, and accordingly, it can be predicted in advance whether dose delivery quality assurance will be passed according to the parameters through the above prediction model, without repeatedly carrying out dose delivery quality assurance according to a patient's treatment plan, and as a result, the efficiency of dose delivery quality assurance can be enhanced, and the time or capacity required for such quality assurance is reduced, such that radiation treatment for an actual patient can be quickly and precisely carried out.

Abstract: A method of inspecting a flat panel display including inputting an image data signal into the flat panel display, obtaining an image displayed on the flat panel display in response to the input image data signal with a camera, extracting a raw brightness information corresponding to each location from the obtained image, calculating a fitting brightness information corresponding to each location through the curve fitting based on the raw brightness information, calculating a brightness difference corresponding to each location between the raw brightness information and the fitting brightness information, and detecting stain locations with the brightness difference beyond a predetermined permitted limit.

Abstract: A method of inspecting a flat panel display including inputting an image data signal into the flat panel display, obtaining an image displayed on the flat panel display in response to the input image data signal with a camera, extracting a raw brightness information corresponding to each location from the obtained image, calculating a fitting brightness information corresponding to each location through the curve fitting based on the raw brightness information, calculating a brightness difference corresponding to each location between the raw brightness information and the fitting brightness information, and detecting stain locations with the brightness difference beyond a predetermined permitted limit.