Журнал электрических и электронных систем

Criteria of Radiation Safety Using the Neural Intelligence Systems in Electric Circuit Modeling in Gamma Camera

Abstract

Al Shayea GSA and Zakaria Kh. M

This study was undertaken to evaluate the criteria of radiation safety during nuclear imaging process with Gamma camera by used neural intelligence systems integrated with electrical circuit of Gamma camera, (DICOM – MATLAB integration systems. In this study we are used the 40 uCi of Tc-99 m point source for calibration gamma camera, also used thallium activated sodium iodide (NaI(Tl) crystal as the radiation detector, which is viewed by an array of photomultiplier tubes (PMTs) in gamma camera . In this study we are used A Jaczack phantom with 6 fillable sphere for processing of imaging with calibrated under minimal low doses effect. The characteristic factors ratio were measured against standard ratio for machine of gamma camera, standardized uptake value (SUV), point spread function (PSF), signal-to-noise ratios (SNRs) were measured according to NEMA standard. SUV for image reconstructions proceeding with DICOM–MATLAB systems revealed high resolution with high ratio for SUV max, also PSF and SNRs for image reconstructions proceeding with DICOM – MATLAB recorded high quality image reconstructions under circumstances of low doses form radioisotope Tc-99 m. On the other hand data revealed during the process of operation system with DICOM- MATLAB system, quality image and low dose, short time of exposure and all radiation safety criteria were achieved under radiation safety requirements for nuclear imaging.