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

Abstract

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