Automated atlas-based mapping of white matter tract damage to multiple sclerosis symptoms
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
We quantitatively estimated white
matter tract damage resulting from multiple sclerosis lesions using a fully
automated atlas-based approach. Our method allowed to successfully map affected
functional systems to damaged tracts in 107 patients.
Figure 3. (left)
The average functional scores are shown with bootstrap confidence interval for
every tract. Group 1 (low damage) in light and group 2 (high damage) in dark
color. Results from the U-test are reported in red if p<0.05 after FDR-correction
for multiple comparisons (right): Representation of tracts from the
tractography3 atlas using DSI Studio10. EMC: Extreme
Capsule, FPT: Frontopontine Tract, MdLF: Middle Longitudinal Fasciculus, STT:
Spinothalamic Tract, RST: Rubrospinal Tract, L: Left, R:Right.
Figure1. Estimation
of tract damage. A. Tract density maps are spatially registered to the
individual T1w space with a non-linear transformation. B. The tract
density map is overlapped with the lesion mask to quantify the damage.