Quality Control Procedures for fMRI in DPABI

Palais 

Quality control (QC) is an important stage for functional magnetic resonance imaging (fMRI) studies. The methods for fMRI QC vary in different fMRI preprocessing pipelines. The increasing sample size and the number of scanning sites for fMRI studies further add to the difficulty and working load of the QC procedure. In this lecture, we would like to illustrate the fMRI QC procedure in DPABI by preprocessing a well-organized open-available dataset. Six categories of DPABI-derived reports were used to eliminate participants without adequate imaging quality and the representative images with bad quality would be displayed. More validated automatic QC tools were needed in the big-data era while visually inspecting images was still indispensable now.