Titlebook: Computational Diffusion MRI; International MICCAI Noemi Gyori,Jana Hutter,Fan Zhang Conference proceedings 2021 The Editor(s) (if applicabl

profligate

大溝

Schlussfolgerungen und Ausblick,derations on a simple multi-tensor model of fascicle crossing. Theory and simulations confirm the intuition that linear encoding, because it maximizes B-tensor anisotropy, possesses an intrinsic advantage over all other axisymmetric B-tensors. At identical SPSI however, oblate B-tensors yield higher

Carcinogen

Zielvorstellungen der Entscheidungstr?gerthe measures of coefficient of variability and intraclass correlation coefficients. We also introduce a new measure of inter-tract correlation, obtained by correlation of diffusion profiles between a pair of tracts of interest. We demonstrate our methods in a population of healthy individuals as wel

畸形

scrutiny

Zusammenfassung der Untersuchungsergebnisse,tion results between 0.70 and 0.87 Dice depending on the tissue type. We investigate various combinations of diffusion-derived inputs and show generalization across different numbers of gradient directions. Finally, integrating our approach to provide anatomical priors for tractography pipelines, su

蹣跚

發(fā)生

organism

ENNUI

Gesture

Zusammenfassung der Ergebnisse und Ausblick,lity training dMRI scans are not convenient, pretraining may also allow deep learning based methods to be applied with only a small number of training samples. Motivated by these potential benefits of pretraining, in this work, we explore whether pretraining improves deep learning based tissue micro