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KNOWLEDGE BASED IMAGE ANNOTATION

基于知识的图像注释

基本信息

批准号：
6325507
负责人：
WILLIAM B LOBER
金额：
$ 6.5万
依托单位：
UNIVERSITY OF WASHINGTON
依托单位国家：
美国
项目类别：
财政年份：
1999
资助国家：
美国
起止时间：
1999-07-01 至 2001-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/6325507
关键词：
Internet bioimaging /biomedical imaging digital imaging health care facility information system human data image processing indexing information retrieval

项目摘要

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.

临床图像对于提供医疗保健至关重要卫生保健提供者的服务和教育。日益，数字图像可在线获取。然而，电子共享有关图像的信息并对其进行索引以方便检索临床相关数据给信息管理带来挑战问题。该提案的长期目标是开发一个用相关临床和注释注释图像的通用方法组织解剖学信息以促进这些信息的临床使用图像。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，结合基于解剖学的结构化注释知识库。注释方案将在与病理学家、解剖学家、临床医生和其他图像专家合作消费者。然后将通过以下方式在放射学领域对其进行验证开发示例临床教育/临床参考应用程序，其中将包括带注释的解剖学和病理学图像。通用的、与领域无关的图像注释方案可以超越医学教育，在临床应用中发挥作用信息交换、远程医疗和直接患者护理。