Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data

By Ben Jeurissen, Jacques-Donald Tournier, Thijs Dhollander, Alan Connelly, Jan Sijbers. NeuroImage, 2014

1,405 citations recorded by the source corpus.

Subfields: Orthopedics and Sports Medicine, Pediatrics, Perinatology and Child Health, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/22f348e48d2718166c1ad463eb9f6702cabe2ceb

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Orthopedics and Sports Medicine

1. Jacques-Donald Tournier
2. Alexander Leemans
3. Alan Connelly
4. Ben Jeurissen
5. Maxime Descoteaux
6. Stamatios N. Sotiropoulos
7. Susumu Mori
8. Timothy Edward John Behrens

In Pediatrics, Perinatology and Child Health

1. Jacques-Donald Tournier
2. Ben Jeurissen
3. Alan Connelly
4. Alexander Leemans
5. Maxime Descoteaux
6. Rowan J. Smith
7. Stamatios N. Sotiropoulos
8. Jesper L. R. Andersson

In Radiology, Nuclear Medicine and Imaging

1. Matthew F. Glasser
2. Stephen M. Smith
3. Jacques-Donald Tournier
4. Alan Connelly
5. Stamatios N. Sotiropoulos
6. Jesper L. R. Andersson
7. Ben Jeurissen
8. Essa Yacoub

Citations in the corpus

• Mapping neurotransmitter systems to the structural and functional organization of the human neocortex (2021, methodology): “More specifically, fiber orientation distributions were generated using the multi-shell, multi-tissue constrained spherical deconvolution algorithm from MRtrix 109,110 .”
• The Human Connectome Project’s Neuroimaging Approach (2016, background): “…to provide more stable connectivity estimates 56 ) and 270 different diffusion measures (90 unique diffusion directions for each of three different diffusion weighting strengths; i.e., ‘shells’), enabling better fiber orientation and tissue microstructure modeling at high resolution 57,58 .”
• TractSeg ‐ Fast and accurate white matter tract segmentation (2018, methodology): “ per principal direction). In this study, the principal directions were extracted using the multi-shell multi-tissue constrained spherical deconvolution (CSD) and peak extraction available in MRtrix (Jeurissen et al., 2014, Tournier et al., 2007) with a maximum number of three peaks per voxel. If a ”
• Diffusion MRI fiber tractography of the brain (2019, methodology): “While most high‐order local fiber models can provide high‐quality fiber orientation estimates in voxels containing pure white matter, in voxels partially containing grey matter tissue these models may no longer be appropriate and are known to produce unreliable, noisy fiber orientation estimates.(47”
• Investigating white matter fibre density and morphology using fixel-based analysis (2017, background): “(Jeurissen et al., 2014)) instead of tissue segmentations from T1-weighted images.”