DIGITAL IMAGES PROCESSING IN RADIOGRAPHY

This thesis is focused primarily on digital image processing and modern imaging modalities algorithms. An algorithm means a method for solving a problem or an instruction. In image processing an algorithm presents the process from data acquisition to the resulting image displayed on the monitor. Therefore, in the first part of the thesis a brief overview of principles of imaging modalities used in radiodiagnostics is given. Collected data have to be analyzed and modelled in a certain way. These modified data are then digitized and ready for further processing. The main objective of my paper was to explain, especially to radiology assistants, the basic operations and algorithms used in image processing that are commonly used. I also tried to prove that not only by changing scanning parameters, but also by changing any image parameters the test results may be affected. On the other hand the operating personnel may invalidate the examination and thus contribute to an imperfect diagnosis. Other sections of my thesis are focused on primary image processing and basic image operations. This information is followed by post-processing or secondary processing of visual information. An integral part of the image processing algorithm consists of hardware and software important for archiving and information transmission. A certain part of my paper is devoted to future trends in image processing. The whole theoretical part is based on practical experience and the results obtained by either creating a software algorithm or by measurement of a water phantom on CT, where the original hypothesis was defended by applying a filter. The results are supported by a graphic and image documentation