Big Data Analysis on Radiographic Image Quality

摘要

Mass data generated from in-service radiographic product contain assignable information on Image Quality (IQ). Analyzing data from routine work might supplement the time-consuming Image Quality Assurance Test Procedure (IQATP) to evaluate IQ and to know product type performance on site, which can also locate risks and give manufacturer directions for the further actions as well. This article illustrates methodologies of extracting IQ information from mass data and visual quality track, analysis, control, and risk mitigation in Big Data environments.