Summary of radiation dose management and optimization : comparison of radiation protection measures between Poland and other countries

The purpose of this study is to show the actual recommendations for dose management and provide an overview of the available options for dose tracking and dose optimization. The legal institutions that supervise the radiological exposure of patients and their most important directives are presented. A literature review of existing diagnostic reference levels for computed tomography (CT), interventional radiology, radiography, paediatric radiography, mammography, and fluoroscopy in Europe and Poland was carried out. It has been shown that, in Poland, it is necessary to verify and determine the new diagnostic reference levels (DRLs) for each imaging modality because the existing ones are adapted from other countries and are not determined on the basis of data from Polish hospitals. They have not been updated for 11-17 years, although it is recommended to update them every 3-5 years. Many countries in Europe have already determined DRLs based on the analysis of their own dosage data (e.g. Austria and Germany). Analysing the existing DRLs for CT in Poland, it was noticed that they concern only a single anatomical region. It is necessary to determine the DRLs for multi-region CT (i.e. chest-abdomen-pelvis and neck-chest-abdomen-pelvis) examinations because these examinations account for about 60% of all oncological CT examinations-based on data collected from The Maria Sklodowska-Curie National Research Institute of Oncology in Warsaw

Clustering Aggregation Using Control Chart Technique

Abstract Data clustering is a process of putting similar data into groups. Point-based clustering aggregation is applying aggregation algorithms to data points and then combining various clustering results. Applying clustering algorithms to data points increases the computational complexity and decreases the accuracy. Many existing clustering aggregation algorithms have a time complexity quadratic, cubic, or even exponential in the number of data points. Thus Data fragments are considered. A Data fragment is any subset of the data that is not split by any of the clustering results. Existing model gives high clustering error rate due to lack of preprocessing of outliers. In the proposed approach, data fragments are considered and Outlier detection techniques are employed for preprocessing of data. New clustering aggregation algorithm proposed includes the outlier detection technique and each disjoined set of fragments is clustered in parallel thus reducing the time complexity

Space station data system analysis/architecture study. Task 2: Options development, DR-5. Volume 3: Programmatic options

Task 2 in the Space Station Data System (SSDS) Analysis/Architecture Study is the development of an information base that will support the conduct of trade studies and provide sufficient data to make design/programmatic decisions. This volume identifies the preferred options in the programmatic category and characterizes these options with respect to performance attributes, constraints, costs, and risks. The programmatic category includes methods used to administrate/manage the development, operation and maintenance of the SSDS. The specific areas discussed include standardization/commonality; systems management; and systems development, including hardware procurement, software development and system integration, test and verification