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Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank
UK Biobank is a large-scale prospective epidemiological study with all data accessible to researchers worldwide. It is currently in the process of bringing back 100,000 of the original participants for brain, heart and body MRI, carotid ultrasound and low-dose bone/fat x-ray. The brain imaging compo...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Academic Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5770339/ https://www.ncbi.nlm.nih.gov/pubmed/29079522 http://dx.doi.org/10.1016/j.neuroimage.2017.10.034 |
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author | Alfaro-Almagro, Fidel Jenkinson, Mark Bangerter, Neal K. Andersson, Jesper L.R. Griffanti, Ludovica Douaud, Gwenaëlle Sotiropoulos, Stamatios N. Jbabdi, Saad Hernandez-Fernandez, Moises Vallee, Emmanuel Vidaurre, Diego Webster, Matthew McCarthy, Paul Rorden, Christopher Daducci, Alessandro Alexander, Daniel C. Zhang, Hui Dragonu, Iulius Matthews, Paul M. Miller, Karla L. Smith, Stephen M. |
author_facet | Alfaro-Almagro, Fidel Jenkinson, Mark Bangerter, Neal K. Andersson, Jesper L.R. Griffanti, Ludovica Douaud, Gwenaëlle Sotiropoulos, Stamatios N. Jbabdi, Saad Hernandez-Fernandez, Moises Vallee, Emmanuel Vidaurre, Diego Webster, Matthew McCarthy, Paul Rorden, Christopher Daducci, Alessandro Alexander, Daniel C. Zhang, Hui Dragonu, Iulius Matthews, Paul M. Miller, Karla L. Smith, Stephen M. |
author_sort | Alfaro-Almagro, Fidel |
collection | PubMed |
description | UK Biobank is a large-scale prospective epidemiological study with all data accessible to researchers worldwide. It is currently in the process of bringing back 100,000 of the original participants for brain, heart and body MRI, carotid ultrasound and low-dose bone/fat x-ray. The brain imaging component covers 6 modalities (T1, T2 FLAIR, susceptibility weighted MRI, Resting fMRI, Task fMRI and Diffusion MRI). Raw and processed data from the first 10,000 imaged subjects has recently been released for general research access. To help convert this data into useful summary information we have developed an automated processing and QC (Quality Control) pipeline that is available for use by other researchers. In this paper we describe the pipeline in detail, following a brief overview of UK Biobank brain imaging and the acquisition protocol. We also describe several quantitative investigations carried out as part of the development of both the imaging protocol and the processing pipeline. |
format | Online Article Text |
id | pubmed-5770339 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Academic Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-57703392018-02-01 Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank Alfaro-Almagro, Fidel Jenkinson, Mark Bangerter, Neal K. Andersson, Jesper L.R. Griffanti, Ludovica Douaud, Gwenaëlle Sotiropoulos, Stamatios N. Jbabdi, Saad Hernandez-Fernandez, Moises Vallee, Emmanuel Vidaurre, Diego Webster, Matthew McCarthy, Paul Rorden, Christopher Daducci, Alessandro Alexander, Daniel C. Zhang, Hui Dragonu, Iulius Matthews, Paul M. Miller, Karla L. Smith, Stephen M. Neuroimage Article UK Biobank is a large-scale prospective epidemiological study with all data accessible to researchers worldwide. It is currently in the process of bringing back 100,000 of the original participants for brain, heart and body MRI, carotid ultrasound and low-dose bone/fat x-ray. The brain imaging component covers 6 modalities (T1, T2 FLAIR, susceptibility weighted MRI, Resting fMRI, Task fMRI and Diffusion MRI). Raw and processed data from the first 10,000 imaged subjects has recently been released for general research access. To help convert this data into useful summary information we have developed an automated processing and QC (Quality Control) pipeline that is available for use by other researchers. In this paper we describe the pipeline in detail, following a brief overview of UK Biobank brain imaging and the acquisition protocol. We also describe several quantitative investigations carried out as part of the development of both the imaging protocol and the processing pipeline. Academic Press 2018-02-01 /pmc/articles/PMC5770339/ /pubmed/29079522 http://dx.doi.org/10.1016/j.neuroimage.2017.10.034 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Alfaro-Almagro, Fidel Jenkinson, Mark Bangerter, Neal K. Andersson, Jesper L.R. Griffanti, Ludovica Douaud, Gwenaëlle Sotiropoulos, Stamatios N. Jbabdi, Saad Hernandez-Fernandez, Moises Vallee, Emmanuel Vidaurre, Diego Webster, Matthew McCarthy, Paul Rorden, Christopher Daducci, Alessandro Alexander, Daniel C. Zhang, Hui Dragonu, Iulius Matthews, Paul M. Miller, Karla L. Smith, Stephen M. Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank |
title | Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank |
title_full | Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank |
title_fullStr | Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank |
title_full_unstemmed | Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank |
title_short | Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank |
title_sort | image processing and quality control for the first 10,000 brain imaging datasets from uk biobank |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5770339/ https://www.ncbi.nlm.nih.gov/pubmed/29079522 http://dx.doi.org/10.1016/j.neuroimage.2017.10.034 |
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