Evaluating Structural Connectomics in Relation to Different Q-space Sampling Techniques
Evaluating Structural Connectomics in Relation to Different Q-space Sampling Techniques is a scholarly work by Alberto Prats-Galino and Pablo Villoslada, published in 2013 in ''Lecture Notes in Computer Science''. The main subjects of the publication include magnetic resonance imaging, graph, connectomics, artificial intelligence, connectome, graph theory, diffusion-weighted magnetic resonance imaging, theoretical computer science, neuroscience, pattern recognition, and computer science. The authors thus come to several important conclusions demonstrating that even though the different techniques demonstrate differences in the anatomy of the reconstructed fibers the respective connectomes show variations of 20%.