Ricardo Fabrega's Projects
This App takes tract masks and convert them to series of numerical values that chracaterizes each masks. The numerical values are generated from the flattened output of 3D convolutional layers of the model trained to classify tract names. Output values could be used as a "shape signature" and compared against other similar shaped tracts.
This service uses mrtrix 2.0 to track using three methods DTI-based Deterministic, CSD-based Probabilistic and Deterministic. It generates three separate tractograms (TCK), one for each algorithm.
Create plots of diffusion metrics (i.e. FA, MD, RD, AD) for each of the segmented tracts from AFQ, known as Tract Profiles. Obtains streamline positions from segmented tracts and plots the metrics of interest along "nodes" of the tract, allowing for comparison of individual subject tracts. Requires the dt6 output from dtiinit and a white matter classification output from AFQ or WMA
Brainlife Documentation
MatLab tutorials and examples for Class K310 Spring 2015, University of Indiana Bloomington