Froeling, M;
Tax, CM;
Vos, SB;
Luijten, PR;
Leemans, A;
(2017)
"MASSIVE" Brain Dataset: Multiple Acquisitions for Standardization of Structural Imaging Validation and Evaluation.
Magnetic Resonance in Medicine
, 77
(5)
pp. 1797-1809.
10.1002/mrm.26259.
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Froeling_et_al-2016 MASSIVE Brain Dataset - Multiple Acquisitions for Standardization of Structural Imaging Validation and Evaluation AAM.pdf Download (1MB) | Preview |
Abstract
PURPOSE: In this work, we present the MASSIVE (Multiple Acquisitions for Standardization of Structural Imaging Validation and Evaluation) brain dataset of a single healthy subject, which is intended to facilitate diffusion MRI (dMRI) modeling and methodology development. METHODS: MRI data of one healthy subject (female, 25 years) were acquired on a clinical 3 Tesla system (Philips Achieva) with an eight-channel head coil. In total, the subject was scanned on 18 different occasions with a total acquisition time of 22.5 h. The dMRI data were acquired with an isotropic resolution of 2.5 mm(3) and distributed over five shells with b-values up to 4000 s/mm(2) and two Cartesian grids with b-values up to 9000 s/mm(2) . RESULTS: The final dataset consists of 8000 dMRI volumes, corresponding B0 field maps and noise maps for subsets of the dMRI scans, and ten three-dimensional FLAIR, T1 -, and T2 -weighted scans. The average signal-to-noise-ratio of the non-diffusion-weighted images was roughly 35. CONCLUSION: This unique set of in vivo MRI data will provide a robust framework to evaluate novel diffusion processing techniques and to reliably compare different approaches for diffusion modeling. The MASSIVE dataset is made publically available (both unprocessed and processed) on www.massive-data.org. Magn Reson Med, 2016.
| Type: | Article |
|---|---|
| Title: | "MASSIVE" Brain Dataset: Multiple Acquisitions for Standardization of Structural Imaging Validation and Evaluation |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1002/mrm.26259 |
| Publisher version: | http://doi.org/10.1002/mrm.26259 |
| Language: | English |
| Additional information: | Copyright © 2016 Wiley Periodicals, Inc. This is the peer reviewed version of the following article: Froeling, M; Tax, CM; Vos, SB; Luijten, PR; Leemans, A; (2017) "MASSIVE" Brain Dataset: Multiple Acquisitions for Standardization of Structural Imaging Validation and Evaluation. Magnetic Resonance in Medicine , 77 (5) pp. 1797-1809., which has been published in final form at http://dx.doi.org/10.1002/mrm.26259. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving. |
| Keywords: | brain dataset, diffusion MRI, evaluation, methods development, modeling, structural MRI |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1494601 |
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