Erickson Bradley J, Bartholmai Brian
Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA.
J Digit Imaging. 2002 Jun;15(2):59-68. doi: 10.1007/s10278-002-0011-x. Epub 2002 Sep 26.
Computer-aided diagnosis has been under development for more than 3 decades. The rate of progress appears exponential, with either recent approval or pending approval for devices focusing on mammography, chest radiographs, and chest CT. Related technologies improve diagnosis for many other types of medical images including virtual colonography, vascular imaging, as well as automated quantitation of image-derived metrics. A variety of techniques are currently employed with success, likely reflecting the variety of imagery used, as well as the variety of tasks. Most areas of medical imaging have had efforts at computer assistance, and some have even received FDA approval and can be reimbursed. We anticipate that the rapid advance of these technologies will continue, and that application will broaden to cover much of medical imaging. Acceptance of, and integration of computer-aided diagnosis technology with the electronic radiology practice is a current challenge. These challenges will be overcome, and we expect that computer-aided diagnosis will be routinely applied to medical images.
计算机辅助诊断已经发展了30多年。其进展速度呈指数级,近期有专注于乳腺X线摄影、胸部X光片和胸部CT的设备获批或即将获批。相关技术改善了许多其他类型医学图像的诊断,包括虚拟结肠镜检查、血管成像以及图像衍生指标的自动定量。目前成功应用了多种技术,这可能反映了所使用图像的多样性以及任务的多样性。医学成像的大多数领域都进行了计算机辅助方面的努力,有些甚至获得了美国食品药品监督管理局(FDA)的批准并且可以报销。我们预计这些技术将继续快速发展,并且应用范围将扩大到涵盖大部分医学成像领域。目前的一个挑战是接受计算机辅助诊断技术并将其与电子放射学实践相结合。这些挑战将会被克服,并且我们预计计算机辅助诊断将被常规应用于医学图像。