CBICA
CBICA License
Yes
University of Pennsylvania
NITRC
CBICA: Confetti
Alexander Getka
Confetti is a method for automated identification of white matter tracts of interest in a consistent and comparable manner over a large group of subjects without drawing the inclusion and exclusion regions of interest (ROI), facilitating an easy correspondence between different subjects, as well as providing a representation that is robust to edema, mass effect, and tract infiltration.
Confetti includes three main steps: (1) Connectivity signature generation for fibers, (2) Clustering of fibers using a mixture of multinomials (MNs) clustering method and Expectation-Maximization (EM) optimization framework, (3) Extraction of predefined white matter tracts.
CBICA: Confetti
Clinical Neuroinformatics, MR, Computational Neuroscience, CBICA License, Connectivity Analysis
http://www.nitrc.org/projects/cbica_confetti/
Alexander.Getka@pennmedicine.upenn.edu