An architecture for regional health information networks addressing issues of modularity and interoperability, Journal of Telecommunications and Information Technology, 2005, nr 4

A fundamental pre-requisite for the establishment of a scaleable regional health information network (RHIN) is the development of an architectural framework and tools for the integration of specialized autonomous systems and e-health service platforms supported by an underlying health information infrastructure (HII). In this context, HYGEIAnet, which is the RHIN of Crete in Greece, has identified and utilized a number of critical software components enabling integrated access to clinically significant information, based on an open architecture addressing successfully the various interoperability challenges at hand. HYGEIAnet provides the framework for the reuse of standardized common components and public interfaces, thus enabling integrated and personalized delivery of healthcare

Independent 3D Motion Detection Using Residual Parallax Normal Flow Fields

This paper considers a specific problem of visual perception of motion, namely the problem of visual detection of independent 3D motion. Most of the existing techniques for solving this problem rely on restrictive assumptions about the environment, the observer's motion, or both. Moreover, they are based on the computation of a dense optical flow field, which amounts to solving the illposed correspondence problem. In this work, independent motion detection is formulated as a problem of robust parameter estimation applied to the visual input acquired by a rigidly moving observer. The proposed method automatically selects a planar surface in the scene and the residual planar parallax normal flow field with respect to the motion of this surface is computed at two successive time instants. The two resulting normal flow fields are then combined in a linear model. The parameters of this model are related to the parameters of self-motion (egomotion) and their robust estimation leads to a segm..

Technological Advances in Teleradiology

Teleradiology consists of a set of added-value telematic services, implemented over an advanced telecommunications infrastructure and supported by different information technologies and related applications. The main goal of teleradiology is to provide different levels of support for remote diagnostic imaging procedures. This paper considers technological advances in this important area, including a discussion of the various added-value telematic services, applications supporting these services, and the required information technology and telecommunications infrastructure. Teleradiology is also considered in the general context of an integrated regional health telematics network, emphasizing its role and its interaction with other information and networking services. Keywords: teleradiology, health telematics, multimedia communications, computer supported cooperative work, asynchronous teleconsultation, synchronous teleconsultation, computerized patient record, patient meta-record. S..

Independent 3D Motion Detection Based on Depth Elimination in Normal Flow Fields

This paper considers a specific problem of visual perception of motion, namely the problem of visual detection of independent 3D motion. Most of the existing techniques for solving this problem rely on restrictive assumptions about the environment, the observer's motion, or both. Moreover, they are based on the computation of optical flow, which amounts to solving the ill-posed correspondence problem. In this work, independent motion detection is formulated as robust parameter estimation applied to the visual input acquired by a binocular, rigidly moving observer. Depth and motion measurements are combined in a linear model. The parameters of this model are related to the parameters of self-motion (egomotion) and the parameters of the stereoscopic configuration of the observer. The robust estimation of this model leads to a segmentation of the scene based on 3D motion. The method avoids the correspondence problem by employing only normal flow fields. Experimental results demonstrate the effectiveness of this method in detecting independent motion in scenes with large depth variations, without any constraints imposed on observer motion