Abstract #2471
Multivariate asymmetry analysis (MVAA): applications in temporal lobe epilepsy
Diego Cantor-Rivera 1 , Terry M. Peters 2 , and Ali R. Khan 2
1
Biomedical Engineering Graduate Program,
Western University, London, ON, Canada,
2
Medical
Biophysics, Western University, London, ON, Canada
This work presents a novel multivariate asymmetry
analysis for investigating focal structural
abnormalities. The novel method uses multi-parametric
imaging data non-rigidly registered to a symmetric
template to estimate asymmetry measures using
locally-sampled cumulative distribution functions (Kolmogorov-Smirnov
test). We applied it to investigate structural
abnormalities in temporal lobe epilepsy using
quantitative relaxometry, diffusion tensor imaging, and
voxel-based morphometry. Whole brain Mahalanobis
distance maps were employed in a support vector machine
classification to show that the use of asymmetry
significantly improves discrimination between temporal
lobe epilepsy patients and healthy controls.
How to access this content:
For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.
After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.
After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.
Click here for more information on becoming a member.
