Radiographic Imaging System Based On Image Quality Assessment

With the rapid development and application of science and technology, medical X-ray machines to intelligent control system is gradually developing, but today medical X-ray machine still use traditional manual adjustment, not only time consuming, and low control accuracy, outlet dose inaccurate, leading to image poor results, impact on doctors diagnosis, it also increased the subjects of radiation dose. This thesis focuses on current medical X-ray machine presence of these shortcomings, Intelligent X-ray imaging technique based on image quality detection was proposed.First, in summing up the medical imaging and image evaluation related technologies, introduced the study of the subject and basic ideas, and the paper chapters.Secondly, in the analysis of the mechanism and the traditional X-ray imaging system, put forward the basic ideas and Realization of intelligent imaging. Through continuous control voltage parameters of X-ray imaging system for the corresponding radiographic image, evaluate image quality. And by the judge of image quality evaluation results, to form a voltage of the closed-loop control, and ultimately realize the best quality image of the region of interest. Combined with X-ray imaging system principle, paper designed intelligent imaging system control method.Finally, we focused on the X-ray image quality evaluation method. To image quality assessment results as indicators of intelligent control to achieve closed-loop radiographic imaging optimization. In this paper, wavelet multi-resolution analysis is used because it matches well with the model of human visual system. The objective image quality assessment method was proposed. The results show that this evaluation method to reflect the subjective visual experience, the quality is better than the traditional evaluation method, but also accurately reflect the image quality of the relationship with the voltage can be used as the evaluation indicators to control imaging parameters.