Quantitative Analysis of Cervical Spinal Cord Microstructure and Macrostructure Using Deep Learning-based Segmentation of Magnetic Resonance Images

This research aims to investigate the relationships between microstructural and macrostructural features of the cervical spinal cord in a healthy population using quantitative MRI analysis, and to develop a deep learning-based segmentation framework for accurate measurement of macrostructural characteristics.