Abstract #2073

Robust assessment of the brain's sheet structure using normalized convolution

Chantal M.W. Tax^1,2, Carl-Fredrik Westin², Tom Dela Haije³, Andrea Fuster³, Max A. Viergever¹, Luc Florack³, and Alexander Leemans¹

¹Image Sciences Institute, University Medical Center Utrecht, Utrecht, Netherlands, ²Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States, ³Department of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, Netherlands

The theory that brain fiber pathways cross in sheet-like structures has been a topic of debate. This theory is mainly supported by qualitative findings using diffusion MRI tractography, and a comprehensive quantitative analysis is necessary. To this end, an approach was developed to quantify the degree of “sheetness” based on constructing a large amount of loops with tractography. This approach, however, is computationally expensive, cannot cope well with missing peaks, and is only an approximation when the loops are not infinitesimally small. Here we present an alternative, fast, robust, and elegant approach for the computation of the degree of sheetness.

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.