Abstract
Magnetic Resonance Imaging has become one of the most important tools for anatomic and functional assessment of the complex brain entities. In neurology are present different indicators related with the brain volume measurements, which have a direct impact on several fields such as diagnosis, surgical planning, study of pathologies, disease preventing and tracking the evolution of diseases under (or not) medical treatments, etc. In this work we propose a new automatic brain volumetry estimation method based on the suitable combination of histogram analysis, optimal thresholding, prior geometric information and mathematical morphology techniques. To validate our method we compare our results with three different well established methods in the neuroscience community: Brain Extraction Tool, Brain Suite and Statistical Parametric Mapping. A dataset of 25 patient studies were evaluated concerning to precision, resolution as well as inter-examination features and statistically we demonstrated that our method present competitive results in relation to the others.

Abstract
Increasingly, medical institutions have access to clinical information through computers. The need to process and manage the large amount of data is motivating the recent interest in semantic approaches. Data regarding vaccination records is a common in such systems. Also, being vaccination is a major area of concern in health policies, numerous information is available in the form of clinical guidelines. However, the information in these guidelines may be difficult to access and apply to a specific patient during consultation. The creation of computer interpretable representations allows the development of clinical decision support systems, improving patient care with the reduction of medical errors, increased safety and satisfaction. This paper describes the method used to model and populate a vaccination ontology and the system which recognizes vaccination information on medical texts. The system identifies relevant entities on medical texts and populates an ontology with new instances of classes. An approach to automatically extract information regarding inter-class relationships using association rule mining is suggested.

Abstract
This paper describes the design and implementation of a PKI-based eHealth authentication architecture. This architecture was developed to authenticate eHealth Professionals accessing RTS (Rede Telematica da Saude), a regional platform for sharing clinical data among a set of affiliated health institutions. The architecture had to accommodate specific RTS requirements, namely the security of Professionals' credentials, the mobility of Professionals, and the scalability to accommodate new health institutions. The adopted solution uses short lived certificates and cross-certification agreements between RTS and eHealth institutions for authenticating Professionals accessing the RTS. These certificates carry as well the Professional's role at their home institution for role-based authorization. Trust agreements between health institutions and RTS are necessary in order to make the certificates recognized by the RTS. The implementation was based in Windows technology and as a general policy we avoided the development of specific code; instead, we used and configured available technology and services.

Abstract
Functional Magnetic Resonance Imaging (fMRI) is a promising technique to spatially identify activated areas. However, because of its limited time resolution (about one volume every 3 seconds), integration with a high temporal resolution method (Electroencephalography (EEG)) has shown to be promising. Two main artifacts rise on the EEG in this setup: The imaging artifact and the Ballistocardiogram artifact (BCG). The focus of this paper is to present a new approach for BCG removal. The most common method for its removal is based on average wave shape subtraction. This method assumes a deterministic approach to the BCG, which, as every analog biomedical signal, is not a good assumption. In this paper we present and evaluate, for the first time, a Ballistocardiogram removal adaptive algorithm based on dynamic time warping (DTW) [1]. Although for stable pulse this method can slightly distort the wave shape, we believe it can be reliable to deal with greater BCG time variations, like in the presence of arrhythmia, or during emotion stimulation.

Abstract
This paper describes the design and implementation of a PKI-based e-Health authentication architecture. This architecture was developed to authenticate e-Health Professionals accessing RTS (Rede Telematica da Saude), a regional platform for sharing clinical data among a set of affiliated health institutions. The architecture had to accommodate specific RTS requirements, namely the security of Professionals' credentials, the mobility of Professionals, and the scalability to accommodate new health institutions. The adopted solution uses short. lived certificates and cross-certification agreements between RTS and e-Health institutions for authenticating Professionals accessing the RTS. These certificates carry as well the Professional's role at their home institution for role-based authorization. Trust agreements between health institutions and RTS are necessary in order to make the certificates recognized by the RTS. As a proof of concept, a prototype was implemented with Windows technology. The presented authentication architecture is intended to be applied to other medical telematic systems.

Abstract
This paper describes the design and implementation of an e-Health authentication architecture using smartcards and a PKI. This architecture was developed to authenticate e-Health Professionals accessing the Us (Rede Telematica da Saude), a regional platform for sharing clinical data among a set of affiliated health institutions. The architecture had to accommodate specific RTS requirements, namely the security of Professionals' credentials, the mobility of Professionals, and the scalability to accommodate new health institutions. The adopted solution uses short-lived certificates and cross-certification agreements between RTS and e-Health institutions for authenticating Professionals accessing the RTS. These certificates carry as well the Professional's role at their home institution for role-based authorization. Trust agreements between e-Health institutions and RTS are necessary in older to make the certificates recognized by the RTS. As a proof of concept, a prototype was implemented with Windows technology. The presented authentication architecture is intended to be applied to other medical telematic systems.