Data from: Comprehensive ultrahigh resolution whole brain in vivo MRI dataset as a human phantom
uploaded by Falk Luesebrink on 2021-03-10 - 2 months ago
last modified on 2021-03-12 - 2 months ago
authored by Falk Luesebrink, Hendrik Mattern, Renat Yakupov, Julio Acosta-Cabronero, Mohammad Ashtarayeh, Steffen Oeltze-Jafra, Oliver Speck
42894OpenNeuro Accession Number: ds003563
Files: 336, Size: 8.21GB, Subject: 1, Sessions: 61
No Available Tasks
Available Modalities: PD, T1w, T2w
README
Here, we present an extension to our previously published structural ultrahigh resolution T1-weighted magnetic resonance imaging (MRI) dataset with an isotropic resolution of 250 µm (https://www.nature.com/articles/sdata201732), consisting of multiple additional ultrahigh resolution contrasts. Included are up to 150 µm Time-of-Flight angiography, an updated 250 µm structural T1-weighted reconstruc-tion, 330 µm quantitative susceptibility mapping, up to 450 µm structural T2-weighted imag-ing, 700 µm T1-weighted back-to-back scans, 800 µm diffusion tensor imaging, one hour continuous resting-state functional MRI with an isotropic spatial resolution of 1.8 mm as well as more than 120 other structural T1-weighted volumes together with multiple corresponding proton density weighted acquisitions collected over ten years. All data are from the same participant and were acquired on the same 7 T scanner. The repository contains the unprocessed data as well as (pre-)processing results. The data were acquired in multiple studies with individual goals. This is a unique and comprehensive collection comprising a “human phantom” dataset. Therefore, we compiled, processed, and structured the data, making them publicly available for further investigation.
Authors
- Falk Luesebrink
- Hendrik Mattern
- Renat Yakupov
- Julio Acosta-Cabronero
- Mohammad Ashtarayeh
- Steffen Oeltze-Jafra
- Oliver Speck
Dataset DOI
10.18112/openneuro.ds003563.v1.0.1License
Acknowledgements
How to Acknowledge
Funding
- Initial Training Network, HiMR, funded by the FP7 Marie Curie Actions of the European Commission (FP7-PEOPLE-2012-ITN-316716)
- NIH (1R01-DA021146)
- German Research Foundation (DFG Priority Program 2041 “Computational Connectomics”, MO 2397/5‐1)
- German Reseach Foundation (“9th Nachwuchsakademie Medizintechnik”, MA 9235/1-1)
- Forschungszentrum Medizintechnik Hamburg (fmthh; grant 01fmthh2017)
- Federal state of Saxony-Anhalt, Germany, under grant number ‘I 88’
References and Links
Ethics Approvals
How To Cite
Falk Luesebrink and Hendrik Mattern and Renat Yakupov and Julio Acosta-Cabronero and Mohammad Ashtarayeh and Steffen Oeltze-Jafra and Oliver Speck (2021). Data from: Comprehensive ultrahigh resolution whole brain in vivo MRI dataset as a human phantom. OpenNeuro. [Dataset] doi: 10.18112/openneuro.ds003563.v1.0.1
More citation info
Data from: Comprehensive ultrahigh resolution whole brain in vivo MRI dataset as a human phantom
uploaded by Falk Luesebrink on 2021-03-10 - 2 months ago
last modified on 2021-03-12 - 2 months ago
authored by Falk Luesebrink, Hendrik Mattern, Renat Yakupov, Julio Acosta-Cabronero, Mohammad Ashtarayeh, Steffen Oeltze-Jafra, Oliver Speck
42894OpenNeuro Accession Number: ds003563
Files: 336, Size: 8.21GB, Subject: 1, Sessions: 61
No Available Tasks
Available Modalities: PD, T1w, T2w
README
Here, we present an extension to our previously published structural ultrahigh resolution T1-weighted magnetic resonance imaging (MRI) dataset with an isotropic resolution of 250 µm (https://www.nature.com/articles/sdata201732), consisting of multiple additional ultrahigh resolution contrasts. Included are up to 150 µm Time-of-Flight angiography, an updated 250 µm structural T1-weighted reconstruc-tion, 330 µm quantitative susceptibility mapping, up to 450 µm structural T2-weighted imag-ing, 700 µm T1-weighted back-to-back scans, 800 µm diffusion tensor imaging, one hour continuous resting-state functional MRI with an isotropic spatial resolution of 1.8 mm as well as more than 120 other structural T1-weighted volumes together with multiple corresponding proton density weighted acquisitions collected over ten years. All data are from the same participant and were acquired on the same 7 T scanner. The repository contains the unprocessed data as well as (pre-)processing results. The data were acquired in multiple studies with individual goals. This is a unique and comprehensive collection comprising a “human phantom” dataset. Therefore, we compiled, processed, and structured the data, making them publicly available for further investigation.
Authors
- Falk Luesebrink
- Hendrik Mattern
- Renat Yakupov
- Julio Acosta-Cabronero
- Mohammad Ashtarayeh
- Steffen Oeltze-Jafra
- Oliver Speck
Dataset DOI
10.18112/openneuro.ds003563.v1.0.1License
Acknowledgements
How to Acknowledge
Funding
- Initial Training Network, HiMR, funded by the FP7 Marie Curie Actions of the European Commission (FP7-PEOPLE-2012-ITN-316716)
- NIH (1R01-DA021146)
- German Research Foundation (DFG Priority Program 2041 “Computational Connectomics”, MO 2397/5‐1)
- German Reseach Foundation (“9th Nachwuchsakademie Medizintechnik”, MA 9235/1-1)
- Forschungszentrum Medizintechnik Hamburg (fmthh; grant 01fmthh2017)
- Federal state of Saxony-Anhalt, Germany, under grant number ‘I 88’
References and Links
Ethics Approvals
How To Cite
Falk Luesebrink and Hendrik Mattern and Renat Yakupov and Julio Acosta-Cabronero and Mohammad Ashtarayeh and Steffen Oeltze-Jafra and Oliver Speck (2021). Data from: Comprehensive ultrahigh resolution whole brain in vivo MRI dataset as a human phantom. OpenNeuro. [Dataset] doi: 10.18112/openneuro.ds003563.v1.0.1
More citation info
Dataset File Tree
BIDS Validation
Dataset File Tree
- .bidsignore View
- CHANGES View
- dataset_description.json View
- README View
- README_250um.md View
- README_back-to-back.md View
- README_biasfield.md View
- README_FreeSurfer.md View
- README_longitudinal.md View
- README_MRIQC.md View
- README_protocols.md View
- README_rawdata.md View
- README_registration.md View
- README_scripts.md View
- README_T1w.md View
- README_transformation.md View
- README_ultrahigh_resolution.md View
- README.md View
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