Abstract #1271

Improved spatial normalization of white matter fiber orientation distributions using T1-weighted contrast

Jose M Guerrero-Gonzalez^1,2, Olivia Surgent^2,3, Nagesh Adluru^2,4, Steven R Kecskemeti², Gregory R Kirk², Douglas C Dean III^1,2,5, Brittany G Travers^2,6, and Andrew L Alexander^1,2,7

¹Medical Physics, University of Wisconsin - Madison, Madison, WI, United States, ²Waisman Center, University of Wisconsin - Madison, Madison, WI, United States, ³Neuroscience Training Program, University of Wisconsin - Madison, Madison, WI, United States, ⁴Radiology, University of Wisconsin - Madison, Madison, WI, United States, ⁵Pediatrics, University of Wisconsin - Madison, Madison, WI, United States, ⁶Kinesiology Occupational Therapy Program, University of Wisconsin - Madison, Madison, WI, United States, ⁷Psychiatry, University of Wisconsin - Madison, Madison, WI, United States

Synopsis

Fiber orientation distributions (FOD) derived from diffusion magnetic resonance imaging (dMRI) enable resolution of multiple fiber populations within a voxel. FOD-based white matter studies include voxel-based analysis, atlas-based labeling, and group average fiber tracking. These methods require spatial normalization of the FODs. This work describes an alternative approach for FOD spatial normalization based on co-registering individual dMRI to the T1-weighted (T1w) images, non-linear spatial normalization of the T1w images to a template, and applying the transformations to the FOD maps. This approach is compared to the conventional approach of directly aligning FOD maps.

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.