随着信息技术及医学影像成像技术的发展，医学图像处理在医学临床、教学和科研中发挥着越来越重要的作用，有力地推动着医学科学研究和临床医疗的进步。如何有效地应用图像增强、分割、配准、融合以及三维重建等数字图像分析与处理技术，对人体解剖结构和病变区域进行定位、提取、三维再现并量化分析是使得医学影像数据应用价值最大化的前提和保证。本课程针对医学图像的特征，结合临床需求，由浅入深地讲解医学图像的种类、特征、应用领域、数字化存储形式，并分类讲解图像处理的理论和算法，结合应用案例和课程实践使学生熟练掌握祥光领域的知识和技能，并具备一定的动手能力，为进一步学习医学图像领域的其他课程奠定基础。

The medical image analysis plays an important role in clinical application. The people who want to learn advance theory, algorithms and its applications on the digital image processing area is most suitable. The contents may include image acquiring, image filtering, image segmentation, image understanding and visualization. It could help students to review the history, current status and development of the research area, and could help them to apply them to their own research field. The students are required to understand the basic theory, algorithms and its applications on the digital image processing area.