Data

Synthetic brain MRI dataset for testing of cortical thickness estimation methods

Commonwealth Scientific and Industrial Research Organisation
Rusak, Filip ; Fonseca de Santa Cruz Oliveira, Rodrigo ; Lebrat, Leo ; Hlinka, Ondrej ; Mejan-Fripp, Jurgen ; Smith, Elliot ; Fookes, Clinton ; Bradley, Andrew ; Bourgeat, Pierrick
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25919/4ycc-fc11&rft.title=Synthetic brain MRI dataset for testing of cortical thickness estimation methods&rft.identifier=https://doi.org/10.25919/4ycc-fc11&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=This dataset is suitable for the evaluation of cortical thickness estimation methods. The synthetic dataset consists of 400 T1-weighted (T1-w) brain MRI scans, corresponding Partial Volume (PV) maps of three tissue classes, grey matter (GM), white matter (WM) and cerebrospinal fluid (CSF), as well as surface meshes - pial and WM. For the dataset synthesis, 20 healthy control (HC) baseline subjects from the ADNI dataset, ten females and ten males, were used for the generation of 20 different atrophy levels per subject uniformly. The atrophy levels fall into two ranges, [0.01,0.1] mm, with the atrophy step rate of 0.01 mm [0.1,1] mm (ten levels), with the atrophy step rate of 0.1mm (ten levels). The baseline subjects were also reconstructed using the same method to minimise the measurement bias when computing cortical thickness.&rft.creator=Rusak, Filip &rft.creator=Fonseca de Santa Cruz Oliveira, Rodrigo &rft.creator=Lebrat, Leo &rft.creator=Hlinka, Ondrej &rft.creator=Mejan-Fripp, Jurgen &rft.creator=Smith, Elliot &rft.creator=Fookes, Clinton &rft.creator=Bradley, Andrew &rft.creator=Bourgeat, Pierrick &rft.date=2021&rft.edition=v1&rft_rights=Creative Commons Attribution-Noncommercial 4.0 Licence https://creativecommons.org/licenses/by-nc/4.0/&rft_rights=Data is accessible online and may be reused in accordance with licence conditions&rft_rights=All Rights (including copyright) CSIRO 2021.&rft_subject=Synthetic brain MRIs&rft_subject=Cortical Thickness Estimation&rft_subject=Brain Atrophy&rft_subject=PV-maps&rft_subject=Cortical Surfaces&rft_subject=Artificial intelligence not elsewhere classified&rft_subject=Artificial intelligence&rft_subject=INFORMATION AND COMPUTING SCIENCES&rft.type=dataset&rft.language=English Access the data
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Creative Commons Attribution-Noncommercial 4.0 Licence
https://creativecommons.org/licenses/by-nc/4.0/

Data is accessible online and may be reused in accordance with licence conditions

All Rights (including copyright) CSIRO 2021.

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Brief description

This dataset is suitable for the evaluation of cortical thickness estimation methods. The synthetic dataset consists of 400 T1-weighted (T1-w) brain MRI scans, corresponding Partial Volume (PV) maps of three tissue classes, grey matter (GM), white matter (WM) and cerebrospinal fluid (CSF), as well as surface meshes - pial and WM. For the dataset synthesis, 20 healthy control (HC) baseline subjects from the ADNI dataset, ten females and ten males, were used for the generation of 20 different atrophy levels per subject uniformly. The atrophy levels fall into two ranges, [0.01,0.1] mm, with the atrophy step rate of 0.01 mm [0.1,1] mm (ten levels), with the atrophy step rate of 0.1mm (ten levels). The baseline subjects were also reconstructed using the same method to minimise the measurement bias when computing cortical thickness.

Available: 2021-12-01

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Artificial Intelligence | Artificial Intelligence Not Elsewhere Classified | Brain Atrophy | Cortical Surfaces | Cortical Thickness Estimation | Information and Computing Sciences | PV-maps | Synthetic brain MRIs |

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