Method and automation device for the automation of X-ray image acquisition and visualization at a minimum doseThe invention describes a method to create an automation-unit (6) for the automation of X-ray image acquisition and visualization at a minimum dose comprising the steps:- providing a computerized training-unit (7), wherein the training-unit is designed to train an automation-unit (6) with a method of machine learning,- providing an automation-unit (6) at the training-unit (7),- providing X-ray sample datasets (D) comprising information abouta) the Deviation Index (DI) or data from which the Deviation Index (DI) can be derived andb) values of acquisition parameters (PA) and/or of processing parameters (PP) and/orc) medical task parameters,of an X-ray image file,- extract data from the X-ray datasets (D), wherein the extracted data comprises the Deviation Index (DI) and predefined values of acquisition parameters (PA) and/or of processing parameters (PP) from the X-ray sample datasets and form a number of data-groups (G) from the extracted data,- training of the automation-unit (6) with the training-unit (7) based on the principles of machine learning by using the number of data-groups (G).The invention further describes an automation-unit, an automation method, an automation device and a medical X-ray imaging system for the automation of X-ray image acquisition and visualization at a minimum dose.
