Veronica Ravano1,2,3, Michaela Andelova4, Mazen Fouad A-Wali Mahdi1, Reto Meuli2, Tomas Uher4, Jan Krasensky5, Manuela Vaneckova5, Dana Horakova4, Tobias Kober1,2,6, and Jonas Richiardi1,2
1Advanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland, 2Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 3Medical Imaging Processing, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 4Department of Neurology and Center of Clinical Neuroscience First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic, 5MR unit, Department of Radiology First Facutly of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic, 6LTS5, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
In multiple sclerosis, the standard radiological metrics correlate poorly with clinical disability (‘clinico-radiological paradox’). To help filling this gap, we propose to map neurological impairments to white matter tract damage resulting from lesions. Because diffusion imaging is typically not part of multiple sclerosis clinical workups, quantitative tract damage metrics were extracted using a tractography atlas and an automated lesion segmentation algorithm.
We were able to successfully identify which functional system (EDSS sub-score) was affected by damage on given tracts. These findings suggest the usefulness of using our fully automated atlas-based approach to study mechanisms of neurological diseases.