Thanks for the information! I’ll consider using NiChart to handle the Dicom-to-Nifti conversion, especially given its applicability to multimodal data. As for tutorials, there are some resources online for using NiChart, particularly on its official website or GitHub, where you may find documentation or examples. Regarding MRI scans, T1-weighted is not the only structural scan mode. There are usually also T2-weighted, FLAIR, and T1-weighted inversion recovery modes, each with distinct imaging characteristics. As for Python packages, there are several tools that can help you visualize and analyze MRI scan types. For example, nibabel can read Nifti files, nilearn and matplotlib can help you visualize brain images, pydeface can assist with removing facial regions, and some deep learning libraries like MONAI can be used for more complex analyses.