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Abstract #0549

Spatial matching of fiber orientation distribution functions (fODFs) & brain structure using fODF-based vs. tensor-based registration

Xiaoxiao Qi1, Yingjuan Wu1, Abdur Raquib Ridwan1, Shengwei Zhang1, Mohammad Rakeen Niaz1, and Konstantinos Arfanakis1,2
1Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, United States, 2Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, United States

Group-wise spatial normalization of fiber orientation distribution functions (fODF) is an important step in fixel-based analysis. This work compared the accuracy in matching fODFs using fODF-based and tensor-based registration. It demonstrated superior fODF matching with fODF-based registration, as expected, even in conditions that are optimal for tensor but not fODF reconstruction. Nevertheless, it was shown that tensor-based registration has the ability to spatially match fODF features rather well, though less accurately than fODF-based registration. Finally, this work demonstrated that fODF-based transformations resulted in worse matching of structural information than tensor-based transformations.

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