Image Selection Algorithm Proposal for Digital Radiography Training Simulator

Students who are learning medical radiology undergo practical training on radiography in university labs or hospitals. However, when using radiation exposure and anthropomorphic phantom which concern the use of actual X-ray apparatus, the benefits of practical training can be limited due to difficulties in employing a variety of patient positions. This study will propose the implementation method of simulator in order to develop an unprecedented radiography training simulator. The study seeks to improve the quality of practical training by proposing a method for acquiring the image which will be used as a database in the simulator, as well as a method for creating an algorithm so that concerns of radiation exposure by students can be addressed, and limitations of practical training using anthropomorphic phantom can be eased. In the field of digital radiography, a simulation method that allows for examination procedures and images that are equal to those from an actual X-ray examination but without the exposure of X-rays is proposed. A suggestion is made on the method for creating an algorithm that uses images according to the changes in dose and size of images which are then used as part of a database in the radiography training simulator. A programming method that can bring corresponding images from images which were databased according to the examination procedures was proposed. In addition, a service or interchange of sustainable database is possible using an online service with accumulation of more diverse practical images. Furthermore, it can be built on so that images can be studied in a practical manner using smartphones. The use of a radiography training simulator should be able to provide higher quality practical training through repetition without the ethical issues arising from radiation exposure. It can become standardized way that remove the constraints of patient position when using an anthropomorphic phantom.