Blood oxygenation level dependence signal (BOLD) for functional magnetic\nresonance imaging (FMRI), is the use of blood magnetization depending on\nthe oxygenation state of hemoglobin. Susceptibility gradient can shift and\nskew k -space trajectories and it leads to echo time shift and BOLD sensitivity\nchange. FMRI can be used to detect the signal, the change of the susceptibility\ngradient of the signal and the distortion of k space trajectory, resulting\nin echo time shift and BOLD sensitivity change. Using the percentage signal\nchange (PSC) and calibration function, it can be applied to many different\nfields, such as age-related research. In this paper, the performance of BOLD\nsignal change correction based on sensitivity gradient was verified by real data\ngroup calculation, and methods of further improving the calculation speed\nwere analyzed. This paper also analyzed the performance of correcting the\nvariations of BOLD Signal due to susceptibility gradients with real data set,\nand identified the computational issues that need to be improved for further\nresearch.
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