Web-Pacs in Imaging Medical: A Teaching and Visualization Tool in Clinical Trial

This paper presents Information systems that have advances in clinical centers of medical image diagnosis. The information in clinical trial the image medical is very important. PACS ( picture archiving and communication system) is an evolving healthcare technology for the short and long term storage, retrieval, management, distribution and presentation of medical images. Our main aim is to provide a new teaching and visualization tool for supporting clinical Web-Pacs involving different hospital and research center institutions. These clinical information systems are oriented to individual patient information management, but not to group management with different experimental conditions. The Web Pacs systems manage patient groups, but not available research more accurate of algorithms that help the image processing development that benefit the research. Investigation of diseases in different applications as: new clinical studies in psychiatry, neurology, cardiology and oncology. New needs for storing images arise from the analysis of the same images, with this we made massive load of images that are analyzed with high-performance algorithms. To perform the mass storage of images that can be analyzed with algorithms at high performance we create a new model of Web-Pacs a teaching and visualization tool in clinical trial. This model contains a cluster distribution that performs research in image processing with its object of investigation. The distribution of model Web-Pac's is presented below with your research cluster in model visualization tool in Clinical Trial Neuro-Spin Laboratory.