Carli
Jessica Lehr1, Mustafa Okan Irfanoglu1, Firdaus Janoos,
Steffen Sammet1, Michael V. Knopp2
1Department of Radiology, The Ohio
State University, Columbus, OH, United States; 2Department of
Radiology, OSU, Columbus, OH, United States
Diffusion
Tensor Imaging plays an important role in the quantitative analysis of
Multiple Sclerosis lesions. This study investigates the correlation between
clinical parameters and DTI imaging features such as FA, ADC, lesion volumes,
and tract connectivity. DTI derived features provide better correlations to
clinical scores than conventional MRI-based characteristics. The strongest correlations were found when
all DTI imaging features were analyzed together against clinical data values.
This illustrates the usefulness of comprehensive DTI imaging features in
analyzing clinical deficits in Multiple Sclerosis.