This session brings together cutting-edge methodological advances in spinal cord MRI, highlighting recent progress in acquisition strategies, image reconstruction, and quantitative analysis across ultra-high magnetic fields. The presentations span innovations in fluid attenuation and tissue nulling, motion correction using deep learning, diffusion and functional MRI, vascular reactivity mapping, CSF flow quantification, and RF/B0 shimming techniques. Emphasis is placed on overcoming long-standing technical challenges in spinal cord imaging, including physiological motion, susceptibility-induced distortions, limited signal-to-noise ratio, and field inhomogeneities. Several studies demonstrate the added value of ultra-high field MRI and advanced hardware configurations, while others focus on validation of MRI-derived metrics against histology and comparison of automated versus manual analysis pipelines. Collectively, the session provides a comprehensive view of the current state of advanced spinal cord MRI, bridging technical development with biological interpretation and translational potential in both preclinical and human studies.