Grondoudis, Andreas

A prototype software system for supporting the process of data collection and management in Quality Assurance (QA) for diagnostic imaging is presented. The developed system comprises two main units: the Image Processing Unit (IPU) and the Data Management Unit (DMU). The IPU is implemented to analyse images from different diagnostic modalities to allow extraction of quantitative measurements for further processing or immediate storage. The IPU is dynamically linked to the DMU so that measurements are transferred directly to the DMU. This process allows the automated generation of quality assurance reports for all such modalities. Apart from its low cost, flexibility for expandability and portability, the developed system extensively and comprehensively tests diagnostic modalities for compliance with international guidelines and standards, offering a structured approach to a comprehensive QA methodology.

Employing technological advances in communications along with the available aerial and space platforms can enable us, to setup a safety monitoring and management system for delivering proactive and reactive surveillance of our forests. This work stresses the importance of protecting our forests considering the socioeconomic impact they have on our world. It also outlines the available platform technologies and proposes a tool for setting up a monitoring system that employs current technologies. This tool simulates forest fires and uses wireless sensors to monitor the fire. Results show that the number and the location of the sensors in a forest are critical in increasing the chances of sensing the fire on time. Since positioning sensors in an organized manner within a forest is tedious if not impossible to implement, it is recommended that areas with higher flammability are equipped with greater number of sensors.

Employing technological advances in communications along with the available aerial and space platforms can enable us, to setup a safety monitoring and management system for delivering proactive and reactive surveillance of our forests. This work stresses the importance of protecting our forests considering the socioeconomic impact they have on our world. It also outlines the available platform technologies and proposes a tool for setting up a monitoring system that employs current technologies. This tool simulates forest fires and uses wireless sensors to monitor the fire. Results show that the number and the location of the sensors in a forest are critical in increasing the chances of sensing the fire on time. Since positioning sensors in an organized manner within a forest is tedious if not impossible to implement, it is recommended that areas with higher flammability are equipped with greater number of sensors.

Magnetic Resonance (MRI), Computed Tomography (CT) and Ultrasound (US) are three of the most commonly used clinical imaging modalities. The aim of this study was to establish a Quality Assurance program for MRI, CT and US scanners. A well-designed quality assurance program is of utmost importance in the clinical setting, because it indicates whether diagnostic imaging modalities meet the minimum criteria of acceptable performance and because it helps determine those scanner parameters that need adjustment in order to ensure optimum performance. Quality assurance programs that rely on manual data collection and analysis are tedious and time consuming and are often abandoned due to the significant workload required for their implementation. In this paper we describe an integrated software system for automating the process of data collection and management in Quality Assurance for diagnostic radiological imaging. The developed system is comprised of two main units: The Image Processing Unit (IPU) and the Data Management Unit (DMU). The IPU is used for analysing images from different diagnostic modalities in order to extract measurements. The IPU is dynamically linked to the DMU so that measurements are transferred directly to the DMU. This process allows the generation of quality assurance reports for all such modalities.

Employing technological advances in communications along with the available aerial and space platforms can enable us, to setup a safety monitoring and management system for delivering proactive and reactive surveillance of our forests. This work stresses the importance of protecting our forests considering the socioeconomic impact they have on our world. It also outlines the available platform technologies and proposes a tool for setting up a monitoring system that employs current technologies. This tool simulates forest fires and uses wireless sensors to monitor the fire. Results show that the number and the location of the sensors in a forest are critical in increasing the chances of sensing the fire on time. Since positioning sensors in an organized manner within a forest is tedious if not impossible to implement, it is recommended that areas with higher flammability are equipped with greater number of sensors.