这门课程是随着新技术发展而产生的跨越工学和医学的交叉学科课程，它运用信息学、计算机、认知科学等理论、技术和方法，研究医学影像的性质和运动规律。其研究内容是涉及计算机、数学，物理、解剖、病理及放射成像等专业的重要课程。它能对医学信息采集、加工、存储、传输、分析、利用，乃至表述医学知识，为临床决策提供支持，也为广大居民提供经济、优质、高效和安全的卫生保健。

课程的研究范畴是探讨生物学的、医学的或者更广义的健康数据即影像的采集、存储、交互和展现过程的科学；探讨如何利用信息科技来优化这些过程的科学；探讨如何利用这些数据实现信息和知识层次的各种应用的科学。为此，我们设计这门课程内容包括：医学影像学绪论、解剖及病理结构成像入门、医疗信息系统架构、医学数据可视化临床工作站、影像数据的分割、提取、配准、特征表示、分析和导航、医学数据建模以及疾病模型的建立、应用与评估等。由此可知这门课程涵盖内容虽多，但是设计科学合理，是医科学生必须学习掌握的课程。

This course is an interdisciplinary course that spans the engineering and medicine with the development of new technology. It uses the theories, techniques and methods of informatics, computer and cognitive science to study the nature and movement of medical images. Its research content is related to computer, mathematics, physics, anatomy, pathology and radiology and other professional courses. It provides medical support for medical information collection, processing, storage, transmission, analysis, utilization, and even medical knowledge. It also provides support for clinical decision-making, and providing economic, quality, efficient and safe health care for the population.

The scope of the course is to explore the science of biology, medicine, or broader health data, that is, the collection, storage, interaction and presentation of images; explore how to use information technology to optimize these processes; explore how to use these data information and knowledge at all levels of application science.To this end, we design the content including: introduction to medical imaging, anatomical and pathological imaging, medical information system architecture, medical data visualization of clinical workstations, image data segmentation, extraction, registration, feature representation, analysis and navigation , medical data modeling, and the establishment, application and evaluation of disease models. It can be said that this course covers a lot of content, but the scientific design is reasonable, which medical students should learn and master.