Datasets of "Influence of contrast and texture based image modifications on the performance and attention shift of U-Net models for brain tissue segmentation" Part 1 of 14
Description
This dataset is part of the work https://www.frontiersin.org/articles/10.3389/fnimg.2022.1012639/full. This is the first part of 14 parts of the full dataset (1/14). It contains 3 sets of simulated T1 weighted brain volumes in 3 simulated scanning sequences of spin-echo. The parameters of simulated scanning sequences are respectively repetition time (TR) = 300ms, 400ms, 500ms, and echo time (TE) = 10ms. Under each simulated scanning sequence, there are 500 brain volumes.
Within this part, we also include the segmentation labels for each tissue.
The simulation process of this dataset involves two processes. The first is to simulate one brain under different simulated scanning sequences. For this, we use BrainWeb https://brainweb.bic.mni.mcgill.ca/cgi/bw/submit_request. In the custom setting, we use spin-echo and apply image artifact the same as the default setting of this page. The second process is to transform each simulated brain from BrainWeb to different anatomical shapes. We use Human Connectome Project (HCP) 1200 subject data https://www.humanconnectome.org/study/hcp-young-adult and randomly select 500 brains as anatomical references.
Other details of this dataset can be found at https://www.frontiersin.org/articles/10.3389/fnimg.2022.1012639/full where the details of the data construction are discussed.
All parts of the whole dataset can be found at:
Part 1: https://zenodo.org/record/7294916
Part 2: https://zenodo.org/record/7389550
Part 3: https://zenodo.org/record/7390382
Part 4: https://zenodo.org/record/7390741
Part 5: https://zenodo.org/record/7391205
Part 6: https://zenodo.org/record/7393060
Part 7: https://zenodo.org/record/7393174
Part 8: https://zenodo.org/record/7393347
Part 9: https://zenodo.org/record/7394250
Part 10: https://zenodo.org/record/7394667
Part 11: https://zenodo.org/record/7394939
Part 12: https://zenodo.org/record/7395031
Part 13: https://zenodo.org/record/7395620
Part 14: https://zenodo.org/record/7395622
Files
simuT1_300_10.zip
Additional details
Related works
- Cites
- 10.3389/fnimg.2022.1012639/full (DOI)
Funding
- Predict and Monitor Epilepsy After a First Seizure: The Swiss-First Study CRSII5_180365
- Swiss National Science Foundation