Medical X-Ray Image Enhancement Based on Kramer's PDE Model
Medical X-Ray Image Enhancement Based on Kramer's PDE Model作者机构：Key Lab. of Intelligent Computing and Signal Processing of MOE Anhui University. Hefei 230039 China School of Electronic Science and Technology Anhui University Hefei 230039 China
出 版 物：《Journal of Electronic Science and Technology of China》 (中国电子科技（英文版）)
年 卷 期：2007年第5卷第2期
页 面：187-190页
学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 100207[医学-影像医学与核医学] 1006[医学-中西医结合] 1002[医学-临床医学] 1001[医学-基础医学(可授医学、理学学位)] 08[工学] 1010[医学-医学技术（可授医学、理学学位）] 100106[医学-放射医学] 10[医学] 100602[医学-中西医结合临床]
主 题：Terms-Enhancement nonlinear partial differential equation (PDE) partial differential equation model X-ray image.
摘 要：The purpose of this study is to present an application of a novel enhancement technique for enhancing medical images generated from X-rays. The method presented in this study is based on a nonlinear partial differential equation （PDE） model, Kramer＇s PDE model. The usefulness of this method is investigated by experimental results. We apply this method to a medical X-ray image. For comparison, the X-ray image is also processed using classic Perona-Malik PDE model and Catte PDE model. Although the Perona-Malik model and Catte PDE model could also enhance the image, the quality of the enhanced images is considerably inferior compared with the enhanced image using Kramer＇s PDE model. The study suggests that the Kramer＇s PDE model is capable of enhancing medical X-ray images, which will make the X-ray images more reliable.
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