Разработка и применение современных лабораторных методов в эпидемиологическом мониторинге, диагностики и лечении энтеровирусных инфекций

У роботі проведена порівняльна оцінка специфічності й чутливості тест-системи ПЛР, зі специфічним праймером до ДНК 207 п.н. 5'-нетрансльованої області генома энтеровируса для всіх типів ентеровірусів (крім вірусу поліомієліту) у порівнянні із класичним культуральним методом. А також методологічний підхід спільного використання вищеописаної реакції ПЦР із визначенням антитіл класу Іg до вірусів Коксаки й ЕСНО у системі ІФА діагностики, розробленої авторами, і спектр застосування розробленого комплекс.In work the estimation of specificity and sensitivity of test system PTSR, with specific primers to DNA 207 n.n is spent comparative. 5 '-not broadcast areas генома an enterovirus for all types of enteroviruses (except a poliomyelitis virus) in comparison with classical the virology a method. And also the methodological approach of sharing of above described reaction PCR with definition of antibodies of a class ІgG to viruses Cocsaki and ЕСНО in system IFA of diagnostics developed by authors, and a spectrum of application of the developed complex

Robust and Fast Whole Brain Mapping of the RF Transmit Field B1 at 7T

In-vivo whole brain mapping of the radio frequency transmit field B1+ is a key aspect of recent method developments in ultra high field MRI. We present an optimized method for fast and robust in-vivo whole-brain B1+ mapping at 7T. The method is based on the acquisition of stimulated and spin echo 3D EPI images and was originally developed at 3T. We further optimized the method for use at 7T. Our optimization significantly improved the robustness of the method against large B1+ deviations and off-resonance effects present at 7T. The mean accuracy and precision of the optimized method across the brain was high with a bias less than 2.6 percent unit (p.u.) and random error less than 0.7 p.u. respectively

Error images for spectroscopic imaging by LCModel using Cramer–Rao bounds

The results of spectroscopic imaging (SI) measurements are often presented as metabolic images. If the spectra quality is not sufficient, the calculated concentrations are biased and the metabolic images show an incorrect metabolite distribution. To simplify the quality analysis of spectra measured by SI, an error image, reflecting the accuracy of the computed concentrations, can be displayed along with the metabolite image. In this paper the relevance of Cramer–Rao bounds (CRBs) calculated by the LCModel program to describe errors in estimated concentrations is validated using spectra simulations. The relation between the average CRBs and standard deviations (STD) of metabolite concentrations from 100 simulated spectra for various signal to noise ratio and line broadening conditions is evaluated. A parameter for calculating error images for metabolite ratios is proposed and an effective way to display error images is shown. The results suggest that the average CRBs are strongly correlated with the standard deviations and hence that CRB values reflect the relative uncertainty of the calculated concentrations. The error information can be integrated directly into a metabolite image by displaying only those areas of the metabolite image with corresponding CRBs below a selected threshold or by mapping CRBs as a transparency of the metabolite image. The concept of error images avoids extensive examination of each SI spectrum and helps to reject low quality spectra