Computational phantoms for investigating impact of noise magnitude on modulation transfer function

Accurate measurement of spatial resolution in terms modulation transfer function (MTF) is essential computed tomography (CT) images. The purpose this study was to developed a computational phantom that can be used evaluate the effect noise on MTF CT Our phantoms for measuring were with MATLAB software. image blurred by point spread certain standard deviation. Subsequently, different levels added phantoms. Next, an automatic calculation implemented. first step determine region interest (ROI). Profile generated from ROI, and line (LSF) curve formed. LSF Fourier transformed produce curve. Greater image, it yields greater deviation measured MTF. makes increases differently than 0 HU noise. 10% values at 25% reach more 2.0 cycle/mm. By phantoms, amount determined independently.