Control charts represent the trend of a statistic inside the range of working values. Control charts are used to visualise the statistic over time and thus to have a clear idea of which are the trends. Furthermore, control charts have also a baseline vale, which is the “normal” value for the statistic and one ore more threshold limiting the working range for the statistic.
AutoPIA provides control charts for all the IQIs (Image Quality Indices) calculated during the analysis. They are visualized using the menu View|Results layout. The application layout changes completely and appears like this picture.
Every analysis result contains lot of IQIs, so there are lot of control charts that can be visualized. In order to give users a fast access to every control chart, in the Navigation view on the left, there is a tree for navigate through control charts. Hierarchy starts with the medical centres, then there are all the equipments inside the medical centre, then the test objects used for the equipment (if more than one) and then the detail hierarchy inside the test object. This structure is the same one used for the analysis. Every node representing a detail for which an IQI has been calculated during analysis, has an associated control chart.