Journal:
:iranian journal of medical physics
0
a. boroomand m.sc. in biomedical engineering, tehran university of medical sciences, tehran, iran
a. ahmadian associate professor, physics and biomedical engineering dept., tehran university of medical sciences, tehran, iran
research center for science & technology in medicine, imam khomeini hospital, tehran, iran
m.a. oghabian associate professor, physics and biomedical engineering dept., tehran university of medical sciences, tehran, iran
introduction: the accuracy of analyzing functional mri (fmri) data is usually decreases in the presence of noise and artifact sources. a common solution in for analyzing fmri data having high noise is to use suitable preprocessing methods with the aim of data denoising. some effects of preprocessing methods on the parametric methods such as general linear model (glm) have previously been evalua...
