Abstract #1391

Automated atlas-based mapping of white matter tract damage to multiple sclerosis symptoms

Veronica Ravano^1,2,3, Michaela Andelova⁴, Mazen Fouad A-Wali Mahdi¹, Reto Meuli², Tomas Uher⁴, Jan Krasensky⁵, Manuela Vaneckova⁵, Dana Horakova⁴, Tobias Kober^1,2,6, and Jonas Richiardi^1,2

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.

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