Software & Systems

Journal articles №3 2019

21. Magnetic resonance imaging data processing methods for cognitive visualization and tracking of zones of interest [№3 за 2019 год]
Authors: V.P. Fralenko (alarmod@pereslavl.ru) - Program Systems Institute of RAS (Leading Researcher), Ph.D; M.V. Shustova (m.v.shustova@gmail.com) - Program Systems Institute of RAS (Postgraduate Student); M.V. Khachumov (khmike@inbox.ru) - Institute for Systems Analysis, Federal Research Center “Computer Science and Control” of RAS (Senior Researcher), Ph.D;
Abstract: The main goal of this research is the development of methods for intelligent automatic analysis of mag-netic resonance imaging (MRI) data to support physicians engaged into the study of areas of ischemic lesion and the movement characteristics of mesenchymal stem cells transplanted in the brain of labora-tory animals. The relevance of this research is determined by existence of a number of unsolved prob-lems in the field of study of MRI data automatic analysis. They are: a lack of tools for automated high-precision search of target objects and areas of interests in MRI data (in the interactive mode); problems of fast analysis of a large amount of dynamically changing parameters of the objects under study; a lack of significant improvement of researchers’ equipment through creating a new instrumental base and methods of processing MRI data. The paper presents methods and algorithms to solve the problem of automating the processes of MRI data intellectual processing. The developed methods allow automatic detection and visualization of areas of interest in the brain: ischemic lesions and transplanted stem cells. 2D and 3D visualizations make it possible to model the process of the genesis and changing of zones of interest in time. The methods and algorithms are based on processing DICOM files obtained by scanning a recipient's brain (laboratory rats) in T2 mode (to detect ischemic lesion zone) and SWI mode (to detect mesenchymal stem cells clusters). The developed algorithms form the basis of a software package for processing and analyzing bio-medical data for expert decision-making support for researchers. This software package allows auto-matic detecting of areas of interest in MRI data. The introduction of tracking functions into the devel-oped software package allowed in-depth study of the migration and homing processes of stem cells during a transplantation into a brain affected by various diseases.
Keywords: image processing, graphical interface, magnetic resonance imaging, stem cells, ischemic stroke, migration paths, informative parameters
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22. Rating assessment of academic staff in a university based on an automated information system [№3 за 2019 год]
Authors: E.N. Natochaya (en_ischa@mail.ru) - Russian Presidential Academy of National Economy and Public Administration (Orenburg branch) (Associate Professor), Ph.D; Zubkova, T.M. (bars87@mail.ru) - Orenburg State University, Ph.D;
Abstract: The paper describes an automated information system (AIS) for assessing the efficiency of professional activities of academic staff in educational organizations of higher education. The proposed system is necessary to form a report on performance indicators of academic staff ac-tivities, based on which a head can quickly make management decisions. When applying AIS, the head of department, faculty or educational organization has an opportunity of selecting a suitable candidate for vacant positions; he is also able to form a so-called top of academic staff whose activities coincide with higher education development trends as much as possible. The authors present a formalized representation of the assessment process of an academic staff rat-ing as IDEF0 model and a decomposition scheme. During a decomposition of a software purpose model the authors allocate the following functions: maintaining data on the academic staff, rating calculation, forming report forms. Academic staff performance indicators are united into groups: educational, or-ganizational and methodical, research, scientific and organizational, educational and social work, repu-tation and image activity. The results of total rating assessment might be considered at competitive selection for a vacant po-sition and a subsequent conclusion of an effective contract, at funding acquisition of the equipment for scientific research, conference trips, training, etc., when determining the size of commercial incentive to salary. The used mathematical model of rating calculation is a method of qualimetric assessment of academic staff activity quality. The calculation includes basic, current and private ratings, as well as production and creative activity rating. The paper presents the developed algorithm to solve the problem, a data structure; shows AIS work and the obtained results.
Keywords: automated information system, academic staff, information flows, rating estimates (basic), rating estimates (current), rating estimates (private), rating estimates (relative), infological domain model
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