Fusion in diffusion MRI for improved fibre orientation estimation: An application to the 3T and 7T data of the Human Connectome Project

• Published in: NeuroImage (Orlando, Fla.) Vol. 134; pp. 396 - 409
• Main Authors: Sotiropoulos, Stamatios N., Hernández-Fernández, Moisés, Vu, An T., Andersson, Jesper L., Moeller, Steen, Yacoub, Essa, Lenglet, Christophe, Ugurbil, Kamil, Behrens, Timothy E.J., Jbabdi, Saad
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.07.2016; Elsevier Limited; Academic Press
• Subjects: Adult; Algorithms; Brain - anatomy & histology; Brain - diagnostic imaging; Connectome - methods; Consortia; Data processing; Datasets; Diffusion Tensor Imaging - methods; Female; Humans; Image Enhancement - methods; Image Interpretation, Computer-Assisted - methods; Magnetic resonance imaging; Male; Neural networks; Neuroimaging; Neurosciences; NMR; Nuclear magnetic resonance; Reproducibility of Results; Scanners; Sensitivity and Specificity; Spatial discrimination; Subtraction Technique; White Matter - anatomy & histology; United Kingdom > UK; Germany

Determining the acquisition parameters in diffusion magnetic resonance imaging (dMRI) is governed by a series of trade-offs. Images of lower resolution have less spatial specificity but higher signal to noise ratio (SNR). At the same time higher angular contrast, important for resolving complex fibr...