Application of Radiomics in Vesselness Analysis of CT Angiography Images of Stroke Patients.

Development of vascular collaterals in a lesion area is one of the key factors that determine not only the choice of treatment for ischemic stroke (IS) patients, but also outcome and therapy effectiveness. The main method for examining the vessels' ramification is CT angiography (CTA). CTA analysis may be improved by incorporating filters designed to extract more features about vessels and quantify their level of development.

A Platform for Collection and Analysis of Image Data on Stroke.

Identifying imaging biomarkers (IBs) of stroke remains a priority in neurodiagnostics. There is a number of different methods for image analysis and learning rules applicable in this field, but all of them require large arrays of DICOM images and clinical data. In order to amass such dataset,we havedesigneda platform for systematic collection of clinical data and medical images in different modalities.

[Development of an original computer program FISHMet: use for molecular cytogenetic diagnosis and genome mapping by fluorescent in situ hybridization (FISH)].

Original software FISHMet has been developed and tried for improving the efficiency of diagnosis of hereditary diseases caused by chromosome aberrations and for chromosome mapping by fluorescent in situ hybridization (FISH) method. The program allows creation and analysis of pseudocolor chromosome images and hybridization signals in the Windows 95 system, allows computer analysis and editing of the results of pseudocolor hybridization in situ, including successive imposition of initial black-and-white images created using fluorescent filters (blue, green, and red), and editing of each image individually or of a summary pseudocolor image in BMP, TIFF, and JPEG formats. Components of image computer analysis system (LOMO, Leitz Ortoplan, and Axioplan fluorescent microscopes, COHU 4910 and Sanyo VCB-3512P CCD cameras, Miro-Video, Scion LG-3 and VG-5 image capture maps, and Pentium 100 and Pentium 200 computers) and specialized software for image capture and visualization (Scion Image PC and Video-Cup) have been used with good results in the study.

[Computer systems in supporting the operation of medico-genetic establishments].

Nowadays there is a transition from the automation of some tasks to a complex computerization of medicogenetic service in Russia on the basis of the Federal genetic register. The system is multifunctional and ensures the keeping all medical records. It is realized through the corporate global network.

[Conception and implementation of the federal computer system for families with hereditary diseases].

The Federal Genetic Register (FGR) is a multi-functional system. It will be realized in a form of a corporative network. The main goals of FGR are prophylactic medical examinations, support of a doctor's decision about a genetic risk in families with inherited diseases, monitoring of congenital anomalies and hereditary diseases, supply of data.