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 4 of 14

This dataset is part of the work https://www.frontiersin.org/articles/10.3389/fnimg.2022.1012639/full. This is the fourth part of 14 parts of the full dataset (4/14). 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) = 25ms. Under each simulated scanning sequence, there are 500 brain volumes.

The segmentation labels for each tissue are contained in the first part which you may find at https://zenodo.org/record/7294916

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 of 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