This diploma thesis focuses on quality control (QC) of functional magnetic resonance imaging (fMRI) data. Due to the low signal-to-noise ratio and the sensitivity of the BOLD signal to motion, physiological, and technical artifacts, the detection of low-quality data is essential for valid interpretation of results. The aim of this thesis was to design and implement an interactive software tool in MATLAB for visualization and quality assessment of fMRI data. Using the SPM toolbox, a graphical user interface was developed that combines interactive anatomical slices, BOLD signal time courses, FD and DVARS metric plots, spatial maps of tSNR and SNS, a binary brain mask, and a summary QC map. The tool was evaluated on data provided by the MAFIL CEITEC MU laboratory in four scenarios focused on the effect of preprocessing, motion artifacts, a technical artifact in multi-echo data, and the SNS metric. The results showed that the tool enables the identification of problematic time points, localization of regions with reduced signal quality, and comparison of data quality across different processing stages. The proposed solution represents a practical tool for interactive fMRI data quality control in MATLAB