Advances in diffusion MRI acquisition and processing in the Human Connectome Project
The Human Connectome Project (HCP) is a collaborative 5-year effort to map human brain connections and their variability in healthy adults. A consortium of HCP investigators will study a population of 1200 healthy adults using multiple imaging modalities, along with extensive behavioral and genetic...
| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | Article |
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Elsevier
2013
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| Online Access: | https://eprints.nottingham.ac.uk/52877/ |
| _version_ | 1848798830726742016 |
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| author | Sotiropoulos, Stamatios N. Jbabdi, Saad Xu, Junqian Andersson, Jesper L. Moeller, Steen Auerbach, Edward J. Glasser, Matthew F. Hernandez, Moises Sapiro, Guillermo Jenkinson, Mark Feinberg, David A. Yacoub, Essa Lenglet, Christophe Van Essen, David C. Ugurbil, Kamil Behrens, Timothy E.J. |
| author_facet | Sotiropoulos, Stamatios N. Jbabdi, Saad Xu, Junqian Andersson, Jesper L. Moeller, Steen Auerbach, Edward J. Glasser, Matthew F. Hernandez, Moises Sapiro, Guillermo Jenkinson, Mark Feinberg, David A. Yacoub, Essa Lenglet, Christophe Van Essen, David C. Ugurbil, Kamil Behrens, Timothy E.J. |
| author_sort | Sotiropoulos, Stamatios N. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | The Human Connectome Project (HCP) is a collaborative 5-year effort to map human brain connections and their variability in healthy adults. A consortium of HCP investigators will study a population of 1200 healthy adults using multiple imaging modalities, along with extensive behavioral and genetic data. In this overview, we focus on diffusion MRI (dMRI) and the structural connectivity aspect of the project. We present recent advances in acquisition and processing that allow us to obtain very high-quality in-vivo MRI data, whilst enabling scanning of a very large number of subjects. These advances result from 2 years of intensive efforts in optimising many aspects of data acquisition and processing during the piloting phase of the project. The data quality and methods described here are representative of the datasets and processing pipelines that will be made freely available to the community at quarterly intervals, beginning in 2013. |
| first_indexed | 2025-11-14T20:26:01Z |
| format | Article |
| id | nottingham-52877 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:26:01Z |
| publishDate | 2013 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-528772020-05-04T16:39:21Z https://eprints.nottingham.ac.uk/52877/ Advances in diffusion MRI acquisition and processing in the Human Connectome Project Sotiropoulos, Stamatios N. Jbabdi, Saad Xu, Junqian Andersson, Jesper L. Moeller, Steen Auerbach, Edward J. Glasser, Matthew F. Hernandez, Moises Sapiro, Guillermo Jenkinson, Mark Feinberg, David A. Yacoub, Essa Lenglet, Christophe Van Essen, David C. Ugurbil, Kamil Behrens, Timothy E.J. The Human Connectome Project (HCP) is a collaborative 5-year effort to map human brain connections and their variability in healthy adults. A consortium of HCP investigators will study a population of 1200 healthy adults using multiple imaging modalities, along with extensive behavioral and genetic data. In this overview, we focus on diffusion MRI (dMRI) and the structural connectivity aspect of the project. We present recent advances in acquisition and processing that allow us to obtain very high-quality in-vivo MRI data, whilst enabling scanning of a very large number of subjects. These advances result from 2 years of intensive efforts in optimising many aspects of data acquisition and processing during the piloting phase of the project. The data quality and methods described here are representative of the datasets and processing pipelines that will be made freely available to the community at quarterly intervals, beginning in 2013. Elsevier 2013-10-15 Article PeerReviewed Sotiropoulos, Stamatios N., Jbabdi, Saad, Xu, Junqian, Andersson, Jesper L., Moeller, Steen, Auerbach, Edward J., Glasser, Matthew F., Hernandez, Moises, Sapiro, Guillermo, Jenkinson, Mark, Feinberg, David A., Yacoub, Essa, Lenglet, Christophe, Van Essen, David C., Ugurbil, Kamil and Behrens, Timothy E.J. (2013) Advances in diffusion MRI acquisition and processing in the Human Connectome Project. NeuroImage, 80 . pp. 125-143. ISSN 1053-8119 https://www.sciencedirect.com/science/article/pii/S105381191300551X?via%3Dihub doi:10.1016/j.neuroimage.2013.05.057 doi:10.1016/j.neuroimage.2013.05.057 |
| spellingShingle | Sotiropoulos, Stamatios N. Jbabdi, Saad Xu, Junqian Andersson, Jesper L. Moeller, Steen Auerbach, Edward J. Glasser, Matthew F. Hernandez, Moises Sapiro, Guillermo Jenkinson, Mark Feinberg, David A. Yacoub, Essa Lenglet, Christophe Van Essen, David C. Ugurbil, Kamil Behrens, Timothy E.J. Advances in diffusion MRI acquisition and processing in the Human Connectome Project |
| title | Advances in diffusion MRI acquisition and processing in the Human Connectome Project |
| title_full | Advances in diffusion MRI acquisition and processing in the Human Connectome Project |
| title_fullStr | Advances in diffusion MRI acquisition and processing in the Human Connectome Project |
| title_full_unstemmed | Advances in diffusion MRI acquisition and processing in the Human Connectome Project |
| title_short | Advances in diffusion MRI acquisition and processing in the Human Connectome Project |
| title_sort | advances in diffusion mri acquisition and processing in the human connectome project |
| url | https://eprints.nottingham.ac.uk/52877/ https://eprints.nottingham.ac.uk/52877/ https://eprints.nottingham.ac.uk/52877/ |