Zimeras S, Gortzis L G
Department of Statistics and Actuarial-Financial Mathematics, University of the Aegean, Samos, 83200 Karlovassi, Greece.
Int J Telemed Appl. 2012;2012:713739. doi: 10.1155/2012/713739. Epub 2012 May 7.
Telehealth is the exchange of health information and the provision of health care services through electronic information and communications technology, where participants are separated by geographic, time, social and cultural barriers. The shift of telemedicine from desktop platforms to wireless and mobile technologies is likely to have a significant impact on healthcare in the future. It is therefore crucial to develop a general information exchange e-medical system to enables its users to perform online and offline medical consultations through diagnosis. During the medical diagnosis, image analysis techniques combined with doctor's opinions could be useful for final medical decisions. Quantitative analysis of digital images requires detection and segmentation of the borders of the object of interest. In medical images, segmentation has traditionally been done by human experts. Even with the aid of image processing software (computer-assisted segmentation tools), manual segmentation of 2D and 3D CT images is tedious, time-consuming, and thus impractical, especially in cases where a large number of objects must be specified. Substantial computational and storage requirements become especially acute when object orientation and scale have to be considered. Therefore automated or semi-automated segmentation techniques are essential if these software applications are ever to gain widespread clinical use. The main purpose of this work is to analyze segmentation techniques for the definition of anatomical structures under telemedical systems.
远程医疗是指通过电子信息和通信技术进行健康信息交换和提供医疗保健服务，其中参与者受到地理、时间、社会和文化障碍的分隔。远程医疗从桌面平台向无线和移动技术的转变可能会对未来的医疗保健产生重大影响。因此，开发一个通用的信息交换电子医疗系统至关重要，该系统应能使其用户通过诊断进行在线和离线医疗咨询。在医学诊断过程中，将图像分析技术与医生的意见相结合，可能有助于做出最终的医疗决策。数字图像的定量分析需要检测和分割感兴趣对象的边界。在医学图像中，分割传统上由人类专家完成。即使借助图像处理软件（计算机辅助分割工具），对二维和三维CT图像进行手动分割也很繁琐、耗时，因此不切实际，尤其是在必须指定大量对象的情况下。当必须考虑对象的方向和比例时，大量的计算和存储需求变得尤为突出。因此，如果这些软件应用要在临床上得到广泛应用，自动化或半自动分割技术必不可少。这项工作的主要目的是分析远程医疗系统下用于定义解剖结构的分割技术。
