科研之友
微信
新浪微博
Facebook
分享链接
摘要
With the rapid development of medical imaging technology and information technology, digital medical image acquisition equipment is constantly updated, especially the rise of proton medical technology, which has higher requirements on human diseased cell imaging technology. In this paper, based on the image data acquired by the large aperture CT, the Monte Carlo calculation and analysis of edge-blurred electronic density images have carried out to achieve accurate diagnosis and provide a new method for efficient pathological treatment. This article made a preliminary study and analysis on the application of Monte Carlo method in radio surgical treatment planning. Monte Carlo method, which is known as random sampling or statistical test methods, can truly simulate the actual physical process, problem solving and actual in good compliance. It can be very successful results. Combined with the image processing method, this paper carries out the detection methods of image pre-processing, image segmentation, feature extraction, classification and recognition to the lesion area of human body to realize the effective recognition of the special lesion image area. Experimental results show that the edge of lesion area has obtained by image segmentation, contour extraction and Monte-Carlo calculation. Particle-space information has taken as input. Based on Monte Carlo method, the space-absorbed dose in phantom is analysed distributed. By using the computerized liver cancer diagnosis technology, the doctor's working pressure and labour intensity are reduced, the doctor's working efficiency is improved, the accuracy of the diagnosis is improved, the hospital saves many expenses and the patient's burden is reduced. Therefore, the research of computer-aided diagnosis has important significance and application value.
- 出版日期2019-11
- 单位成都大学
