Gao Xiaohong W, Qian Yu, Hui Rui
School of Engineering and Information Sciences, Middlesex University, London, NW4 4BT, UK.
Open Med Inform J. 2011;5 Suppl 1:73-85. doi: 10.2174/1874431101105010073. Epub 2011 Jul 27.
Medical imaging has learnt itself well into modern medicine and revolutionized medical industry in the last 30 years. Stemming from the discovery of X-ray by Nobel laureate Wilhelm Roentgen, radiology was born, leading to the creation of large quantities of digital images as opposed to film-based medium. While this rich supply of images provides immeasurable information that would otherwise not be possible to obtain, medical images pose great challenges in archiving them safe from corrupted, lost and misuse, retrievable from databases of huge sizes with varying forms of metadata, and reusable when new tools for data mining and new media for data storing become available. This paper provides a summative account on the creation of medical imaging tomography, the development of image archiving systems and the innovation from the existing acquired image data pools. The focus of this paper is on content-based image retrieval (CBIR), in particular, for 3D images, which is exemplified by our developed online e-learning system, MIRAGE, home to a repository of medical images with variety of domains and different dimensions. In terms of novelties, the facilities of CBIR for 3D images coupled with image annotation in a fully automatic fashion have been developed and implemented in the system, resonating with future versatile, flexible and sustainable medical image databases that can reap new innovations.
在过去30年里,医学成像已深深融入现代医学,并给医疗行业带来了变革。放射学源于诺贝尔奖得主威廉·伦琴对X射线的发现,自其诞生以来,产生了大量数字图像,取代了基于胶片的介质。虽然这些丰富的图像提供了难以估量的信息,否则这些信息将无法获取,但医学图像在安全存档方面面临巨大挑战,要防止图像损坏、丢失和被滥用,要能从具有各种形式元数据的大型数据库中检索,并且在新的数据挖掘工具和新的数据存储介质出现时能够重复使用。本文对医学成像断层扫描的创建、图像存档系统的发展以及现有采集图像数据库的创新进行了总结。本文重点关注基于内容的图像检索(CBIR),特别是针对三维图像的检索,我们开发的在线电子学习系统MIRAGE就是一个例子,它拥有一个包含各种领域和不同维度医学图像的存储库。在创新方面,该系统开发并实现了用于三维图像的CBIR功能以及全自动图像标注功能,这与未来能够实现新创新的通用、灵活和可持续的医学图像数据库相呼应。