KNOWLEDGE BASED IMAGE ANNOTATION

临床图像对于医疗保健的提供和 服务和保健提供者的教育。越来越多地， 数字图像可在网上获得。 电子共享 有关图像的信息，并将其编入索引，以便于检索 临床相关数据，对信息管理提出挑战 问题 这项建议的长远目标是发展一个 使用相关临床和医学信息注释图像的通用方法 解剖信息，组织起来，以促进这些临床使用 图像. 为了实现这一目标，将开发一套工具， 创建、存储、检索和分发在线注释临床 图像，结合基于解剖结构的结构化注释 知识库 注释方案将于 与病理学家、解剖学家、临床医生和其他影像学家合作 消费者 然后，它将在放射学领域得到验证， 制定临床教育/临床参考实例 应用程序，其中将包括注释的解剖和病理 图像. 一种通用的、与域无关的图像注释方案可以 在医学教育之外也很有用，可应用于临床 信息交换、远程医疗和直接病人护理。

Clinical images are essential to both the delivery of health-care services and the education of health-care providers. Increasingly, digital images are available online. However, electronically sharing information about images and indexing them to facilitate retrieval of clinically relevant data, pose challenging information management problems. The long-term objective of this proposal is to develop a generalized approach to annotating images with relevant clinical and anatomic information, organized to facilitate the clinical use of those images. To realize this goal a set of tools will be developed to create, store, retrieve, and distribute online annotated clinical images, incorporating structured annotations based on an anatomic knowledge base. The annotation scheme will be developed in collaboration with pathologists, anatomists, clinicians, and other image consumers. It will then be validated in the domain of radiology through development of an example clinical education/clinical reference application, which will include annotated anatomic and pathologic images. A generalized, domain-independent image annotation scheme may be useful beyond medical education, with applications in clinical information interchange, telemedicine, and direct patient care.