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Abstract #2073

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

Chantal M.W. Tax1,2, 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.

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