The state of the art of medical imaging technology: from creation to archive and back.

The open medical informatics journal Pub Date : 2011-01-01 Epub Date: 2011-07-27 DOI:10.2174/1874431101105010073
Xiaohong W Gao, Yu Qian, Rui Hui
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Abstract

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.

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医学影像技术的最新发展:从创建到归档再到归档。
在过去的 30 年中,医学影像技术已融入现代医学,并彻底改变了医疗行业。诺贝尔奖获得者威廉-伦琴(Wilhelm Roentgen)发现 X 射线后,放射学应运而生,从而产生了大量数字图像,而非胶片介质。虽然这些丰富的图像提供了无法估量的信息,而这些信息在其他情况下是不可能获得的,但医学影像的存档却面临着巨大的挑战,既要避免损坏、丢失和误用,又要能从具有不同元数据形式的庞大数据库中检索,还要在有了新的数据挖掘工具和新的数据存储介质时能重复使用。本文总结了医学影像断层扫描的创建、图像存档系统的发展以及现有图像数据池的创新。本文的重点是基于内容的图像检索(CBIR),特别是三维图像的检索,我们开发的在线电子学习系统 MIRAGE 就是一个例子,该系统拥有一个不同领域和不同维度的医学图像库。就新颖性而言,该系统开发并实施了针对三维图像的 CBIR 设施以及全自动的图像注释,这与未来多功能、灵活和可持续的医学图像数据库产生了共鸣,可带来新的创新。
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