Benjamin De Leener
PhD student in Biomedical Engineering
École Polytechnique de Montréal
Award-winning publication: Automatic segmentation of the spinal cord and spinal canal coupled with vertebral labeling
Published in: IEEE Transactions on Medical Imaging
Until recently, spinal cord segmentation on MRI images was carried out semi-manually — a time-consuming task for physicians and researchers seeking spinal cord measurements. In an effort to address the issue, Benjamin De Leneer developed an automatic segmentation method. Combined with a vertebral level identification algorithm that introduces a labeling system, the method provides researchers with a tool to compare their results and avoid the biases of manual data manipulation. Available online at no cost, the technique is now being used by research groups around the world focused on spinal cord diseases and conditions such as multiple sclerosis and traumatic injuries.