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 ; 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=10.25919/4ycc-fc11&rft.publisher=Commonwealth Scientific and Industrial Research Organisation (CSIRO)&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=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=All Rights (including copyright) CSIRO 2021.&rft_rights=Creative Commons Attribution-Noncommercial https://creativecommons.org/licenses/by-nc/4.0/&rft_subject=Synthetic brain MRIs, Cortical Thickness Estimation, Brain Atrophy, PV-maps, Cortical Surfaces&rft_subject=Artificial Intelligence and Image Processing not elsewhere classified&rft_subject=INFORMATION AND COMPUTING SCIENCES&rft_subject=ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING&rft.type=dataset&rft.language=English Access the data

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Creative Commons Attribution-Noncommercial
https://creativecommons.org/licenses/by-nc/4.0/

All Rights (including copyright) CSIRO 2021.

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

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.

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