Monte Carlo simulasyonu kullanarak I123 SPECT kantifikasyonunun dogrulanmasi

The accurate quantification of I-123 Single Photon Emission Computed Tomography (SPECT) is essential for the diagnosis and ongoing observation of neurological diseases. This work compares the performance of two gamma cameras (A and B) with the goal of validating the quantification accuracy of I-123 SPECT through Monte Carlo simulations with the Zubal brain phantom, using the SIMIND. The OSEM technique was utilized to rebuild the SPECT images, which allowed for measurements of the mean activity concentration and standard deviation in specific brain regions. The quantification accuracy was evaluated by calculating the recovery coefficient (RC) and computing the uptake in the regions of the cerebellum, temporal lobe, and parietal lobe. By comparing results with known activity concentrations and taking into account the impacts of scatter correction, PVE and collimator settings, the accuracy of the simulation was evaluated. The results show that quantification errors are acceptable for both cameras. Both cameras are suitable for I-123 imaging, but the choice may depend on the specific requirements of the imaging study. Further, the study explores into the effects of different imaging parameters on quantification accuracy, providing useful insights for enhancing SPECT protocols in the context of neurological imaging. Keywords: I-123 SPECT, Monte Carlo, Zubal phantom, SIMIND, OSEM, LEHR, Quantification Accuracy.