Ricardo Loução1, Karolina Elsner1, Rita G. Nunes1, Rafael Neto-Henriques2, Marta Correia2, André Ribeiro3, and Hugo Ferreira1
1Instituto de Biofísica e Engenharia Biomédica, Lisbon, Portugal, 2Cognition and Brain Science Unit, MRC, Cambridge, United Kingdom, 3Centre for Neuropsychopharmacology, London, United Kingdom
Diffusion Kurtosis Imaging Tractography
Reconstructions (DKI-TR) are often performed using high quality data. In
clinical practice, that is often not possible, as only a lower number of
b-values and diffusion gradient directions can be acquired. This study assessed
the performance of DKI-TR for the two algorithms currently proposed for DKI-TR
using variable amounts of data, and looked at their respective structural
connectivity metrics. A 64 gradient direction data set was acquired in six
healthy subjects, and down-sampled to 21 and 32 directions. Differences were
found between gradient sets and also between algorithms, regarding the
reconstructions and the connectivity metrics.
