Synthetic healthy brain aging MRIs with segmentation masks
doi:10.23698/aida/synthetic/shbamri
AIDA Data Hub facilitating FAIR data sharing for medical imaging diagnostics AI.
This dataset contains synthetic data created by a generative AI model.
This dataset is a collection that includes the 6448 synthetic aging brain T1 MRI scans derived from two data sets by our proposed methodology (the following paper [1]). We augmented the HEALTHY longitudinal brain MRI data with corresponding segmentations to simulate the access of a scan per subject every 6 months in these cohorts.
Sample images with reduced image quality. Please click to preview.
Dataset information
Short name
SHBAMRI
Origin
Synthetic
Cite as
Jingru Fu, Antonios Tzortzakakis, José Barroso, Eric Westman, Daniel Ferreira, and Rodrigo Moreno
(2023)
Synthetic healthy brain aging MRIs with segmentation masks
doi:10.23698/aida/synthetic/shbamri [BibTeX format]
@misc{ fu_2023_shbamri,
author = { Jingru Fu and Antonios Tzortzakakis and José Barroso and Eric Westman and Daniel Ferreira and Rodrigo Moreno },
title = { Synthetic healthy brain aging MRIs with segmentation masks },
year = 2023,
publisher = { AIDA },
doi = { 10.23698/aida/synthetic/shbamri },
howpublished = { Available: AIDA Data Hub },
url = { https://datahub.aida.scilifelab.se/10.23698/aida/synthetic/shbamri }
}
All original segmentations were collected by using FreeSurfer (aparc+aseg.mgz). Synthetic images are segmented based on ground truth segmentations using registration, more information can be found in [1].
License
Controlled access
Free for use in legal and ethical medical diagnostics research and education.
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To: jingruf@kth.se cc: rodmore@kth.se,daniel.ferreira.padilla@ki.se,aida-data@nbis.se Subject: Requesting access to dataset doi:10.23698/aida/synthetic/shbamri
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Permission to use, copy, modify, and/or distribute this data within Analytic
Imaging Diagnostics Arena (AIDA) for the purpose
of medical diagnostics research with or without fee is hereby granted, provided that
the above copyright notice and this permission notice appear in all copies, and that
publications resulting from the use of this data cite the following works:
Jingru Fu, Antonios Tzortzakakis, José Barroso, Eric Westman, Daniel Ferreira, and Rodrigo Moreno
(2023)
Synthetic healthy brain aging MRIs with segmentation masks
doi:10.23698/aida/synthetic/shbamri.
THE DATA IS PROVIDED “AS IS” AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD
TO THIS DATA INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. IN
NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, INDIRECT, OR
CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA
OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS
ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR CHARACTERISTICS OF THIS
DATA.