Data from: Comprehensive ultrahigh resolution whole brain in vivo MRI dataset as a human phantom

uploaded by Falk Luesebrink on 2021-03-10 - 8 months ago
last modified on 2021-03-12 - 8 months ago
authored by Falk Luesebrink, Hendrik Mattern, Renat Yakupov, Julio Acosta-Cabronero, Mohammad Ashtarayeh, Steffen Oeltze-Jafra, Oliver Speck
64279
We found 2 Warnings in your dataset. You are not required to fix warnings, but doing so will make your dataset more BIDS compliant.

/sub-yv98/ses-0551/anat/sub-yv98_ses-0551_run-01_T1w.nii.gz

The most common set of dimensions is: 176,256,256 (voxels), This file has the dimensions: 320,448,448 (voxels). The most common resolution is: 1.00mm x 1.00mm x 1.00mm, This file has the resolution: 0.50mm x 0.50mm x 0.50mm.

/sub-yv98/ses-0551/anat/sub-yv98_ses-0551_run-02_PD.nii.gz

The most common set of dimensions is: 320,448,448 (voxels), This file has the dimensions: 176,256,256 (voxels). The most common resolution is: 0.50mm x 0.50mm x 0.50mm, This file has the resolution: 1.00mm x 1.00mm x 1.00mm.

/sub-yv98/ses-0553/anat/sub-yv98_ses-0553_run-01_T1w.nii.gz

The most common set of dimensions is: 176,256,256 (voxels), This file has the dimensions: 320,448,448 (voxels). The most common resolution is: 1.00mm x 1.00mm x 1.00mm, This file has the resolution: 0.50mm x 0.50mm x 0.50mm.

/sub-yv98/ses-0553/anat/sub-yv98_ses-0553_run-02_PD.nii.gz

The most common set of dimensions is: 320,448,448 (voxels), This file has the dimensions: 176,256,256 (voxels). The most common resolution is: 0.50mm x 0.50mm x 0.50mm, This file has the resolution: 1.00mm x 1.00mm x 1.00mm.

/sub-yv98/ses-1454/anat/sub-yv98_ses-1454_run-03_T1w.nii.gz

The most common set of dimensions is: 224,320,320 (voxels), This file has the dimensions: 320,320,208 (voxels). The most common resolution is: 0.80mm x 0.80mm x 0.80mm, This file has the resolution: 0.80mm x 0.80mm x 0.81mm.

/sub-yv98/ses-1462/anat/sub-yv98_ses-1462_run-02_PD.nii.gz

The most common set of dimensions is: 192,256,256 (voxels), This file has the dimensions: 288,512,512 (voxels). The most common resolution is: 1.00mm x 1.00mm x 1.00mm, This file has the resolution: 0.50mm x 0.50mm x 0.50mm.

/sub-yv98/ses-1462/anat/sub-yv98_ses-1462_run-02_T1w.nii.gz

The most common set of dimensions is: 192,256,256 (voxels), This file has the dimensions: 288,512,512 (voxels). The most common resolution is: 1.00mm x 1.00mm x 1.00mm, This file has the resolution: 0.50mm x 0.50mm x 0.50mm.

/sub-yv98/ses-1706/anat/sub-yv98_ses-1706_run-02_T1w.nii.gz

The most common set of dimensions is: 176,256,256 (voxels), This file has the dimensions: 256,256,141 (voxels).

/sub-yv98/ses-1706/anat/sub-yv98_ses-1706_run-03_T1w.nii.gz

The most common set of dimensions is: 176,256,256 (voxels), This file has the dimensions: 256,183,256 (voxels).

/sub-yv98/ses-1789/anat/sub-yv98_ses-1789_run-02_PD.nii.gz

The most common set of dimensions is: 320,448,448 (voxels), This file has the dimensions: 192,256,256 (voxels). The most common resolution is: 0.50mm x 0.50mm x 0.50mm, This file has the resolution: 1.00mm x 1.00mm x 1.00mm.

and 21 more files

The recommended file /README is missing. See Section 03 (Modality agnostic files) of the BIDS specification.


OpenNeuro Accession Number: ds003563
Files: 336, Size: 8.21GB, Subject: 1, Sessions: 61
No Available Tasks
Available Modalities: MRI

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.v1.0.2

License

CC0

Acknowledgements

The authors would like to thank Oleg Posnansky, University Hospital RWTH Aachen, for the acquisition of the DTI data and the staff of the Department of Oral and Maxillofacial Surgery, University Hospital Magdeburg A.ö.R. for creating the custom‐built mouthpieces.

How to Acknowledge

Lüsebrink, F., Mattern, H., Yakupov, R. et al. Comprehensive ultrahigh resolution whole brain in vivo MRI dataset as a human phantom. Sci Data 8, 138 (2021).

Lüsebrink, F., Mattern, H., Yakupov, R. et al. Data from: Comprehensive ultrahigh resolution whole brain in vivo MRI dataset as a human phantom. OpenNeuro ds003563 (2021).

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’

Ethics Approvals

How To Cite

Copy
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.v1.0.2
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 - 8 months ago
last modified on 2021-03-12 - 8 months ago
authored by Falk Luesebrink, Hendrik Mattern, Renat Yakupov, Julio Acosta-Cabronero, Mohammad Ashtarayeh, Steffen Oeltze-Jafra, Oliver Speck
64279

OpenNeuro Accession Number: ds003563
Files: 336, Size: 8.21GB, Subject: 1, Sessions: 61
No Available Tasks
Available Modalities: MRI

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.v1.0.2

License

CC0

Acknowledgements

The authors would like to thank Oleg Posnansky, University Hospital RWTH Aachen, for the acquisition of the DTI data and the staff of the Department of Oral and Maxillofacial Surgery, University Hospital Magdeburg A.ö.R. for creating the custom‐built mouthpieces.

How to Acknowledge

Lüsebrink, F., Mattern, H., Yakupov, R. et al. Comprehensive ultrahigh resolution whole brain in vivo MRI dataset as a human phantom. Sci Data 8, 138 (2021).

Lüsebrink, F., Mattern, H., Yakupov, R. et al. Data from: Comprehensive ultrahigh resolution whole brain in vivo MRI dataset as a human phantom. OpenNeuro ds003563 (2021).

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’

Ethics Approvals

How To Cite

Copy
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.v1.0.2
More citation info

Dataset File Tree

Git Hash: ddc3632 

BIDS Validation

We found 2 Warnings in your dataset. You are not required to fix warnings, but doing so will make your dataset more BIDS compliant.

/sub-yv98/ses-0551/anat/sub-yv98_ses-0551_run-01_T1w.nii.gz

The most common set of dimensions is: 176,256,256 (voxels), This file has the dimensions: 320,448,448 (voxels). The most common resolution is: 1.00mm x 1.00mm x 1.00mm, This file has the resolution: 0.50mm x 0.50mm x 0.50mm.

/sub-yv98/ses-0551/anat/sub-yv98_ses-0551_run-02_PD.nii.gz

The most common set of dimensions is: 320,448,448 (voxels), This file has the dimensions: 176,256,256 (voxels). The most common resolution is: 0.50mm x 0.50mm x 0.50mm, This file has the resolution: 1.00mm x 1.00mm x 1.00mm.

/sub-yv98/ses-0553/anat/sub-yv98_ses-0553_run-01_T1w.nii.gz

The most common set of dimensions is: 176,256,256 (voxels), This file has the dimensions: 320,448,448 (voxels). The most common resolution is: 1.00mm x 1.00mm x 1.00mm, This file has the resolution: 0.50mm x 0.50mm x 0.50mm.

/sub-yv98/ses-0553/anat/sub-yv98_ses-0553_run-02_PD.nii.gz

The most common set of dimensions is: 320,448,448 (voxels), This file has the dimensions: 176,256,256 (voxels). The most common resolution is: 0.50mm x 0.50mm x 0.50mm, This file has the resolution: 1.00mm x 1.00mm x 1.00mm.

/sub-yv98/ses-1454/anat/sub-yv98_ses-1454_run-03_T1w.nii.gz

The most common set of dimensions is: 224,320,320 (voxels), This file has the dimensions: 320,320,208 (voxels). The most common resolution is: 0.80mm x 0.80mm x 0.80mm, This file has the resolution: 0.80mm x 0.80mm x 0.81mm.

/sub-yv98/ses-1462/anat/sub-yv98_ses-1462_run-02_PD.nii.gz

The most common set of dimensions is: 192,256,256 (voxels), This file has the dimensions: 288,512,512 (voxels). The most common resolution is: 1.00mm x 1.00mm x 1.00mm, This file has the resolution: 0.50mm x 0.50mm x 0.50mm.

/sub-yv98/ses-1462/anat/sub-yv98_ses-1462_run-02_T1w.nii.gz

The most common set of dimensions is: 192,256,256 (voxels), This file has the dimensions: 288,512,512 (voxels). The most common resolution is: 1.00mm x 1.00mm x 1.00mm, This file has the resolution: 0.50mm x 0.50mm x 0.50mm.

/sub-yv98/ses-1706/anat/sub-yv98_ses-1706_run-02_T1w.nii.gz

The most common set of dimensions is: 176,256,256 (voxels), This file has the dimensions: 256,256,141 (voxels).

/sub-yv98/ses-1706/anat/sub-yv98_ses-1706_run-03_T1w.nii.gz

The most common set of dimensions is: 176,256,256 (voxels), This file has the dimensions: 256,183,256 (voxels).

/sub-yv98/ses-1789/anat/sub-yv98_ses-1789_run-02_PD.nii.gz

The most common set of dimensions is: 320,448,448 (voxels), This file has the dimensions: 192,256,256 (voxels). The most common resolution is: 0.50mm x 0.50mm x 0.50mm, This file has the resolution: 1.00mm x 1.00mm x 1.00mm.

and 21 more files

The recommended file /README is missing. See Section 03 (Modality agnostic files) of the BIDS specification.

Dataset File Tree

Git Hash: ddc3632 

Comments

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