Anatomically-constrained tractography: Improved diffusion MRI streamlines tractography through effective use of anatomical information

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Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data (2014, positive): “Four tissue types (CSF, cortical GM (CGM), deep GM (DGM) and WM) were segmented on the structural image using the state-of-the-art framework outlined in Smith et al. (2012).”
Towards quantitative connectivity analysis: reducing tractography biases (2014, positive): “A backtracking 124 approach for probabilistic tractography has been proposed in (Smith et al., 2012) which incrementally truncates and 125 re-tracks the streamline when it reaches a premature stop.”
Diffusion MRI fiber tractography of the brain (2019, background): “More advanced criteria are based on anatomical priors, and reject tracks that terminate in cerebrospinal fluid or within white matter and only accept tracks that connect different gray matter regions.(44,46)”
Deterministic Diffusion Fiber Tracking Improved by Quantitative Anisotropy (2013, methodology): “because anatomical information from T1-weighted images can also facilitate track termination [20], but they cannot selectively”