Project: Data-Driven Spine Detection for Low Resolution Multi-Sequence MRI

by Daniel Kottke, Gino Gulamhussene. Performing statistically significant analysis with medical images requires data from many test persons. Using medical imaging, this is only applicable by reducing quality. Furthermore, research on vertebrae deformation should not rely on top-down (model-based) methods. Our proposed algorithm automatically detects the central spinal curve with 3D data-driven methods on multi-sequence […]

Read More