IXI (Information eXtraction from Images) dataset. 600 MR images from normal, healthy subjects. The MR image acquisition protocol for each subject includes T1, T2 and PD-weighted images, MRA images, and diffusion-weighted images (15 directions).

Data set of nearly 600 MR images from normal, healthy subjects, along with demographic characteristics, collected as part of the Information eXtraction from Images (IXI) project available for download. Tar files containing T1, T2, PD, MRA and DTI (15 directions) scans from these subjects are available. The data has been collected at three different hospitals in London: * Hammersmith Hospital using a Philips 3T system * Guy''s Hospital using a Philips 1.5T system * Institute of Psychiatry using a GE 1.5T system

MRI atlases generated from 218 IXI subjects [1], using the Multi-Brain (MB) toolbox [2]. There are three MR contrasts: T1-, T2- and PD-weighted. The atlases have both brain and neck coverage, and have 1 mm isotropic resolution. The filenames containing 'mni' are in MNI space, the others are in MB space.1. http://brain-development.org/ixi-dataset/2. https://github.com/WTCN-computational-anatomy-group/diffeo-segment

IXI Dataset is a collection of 600 MR brain images from normal, healthy subjects. The MR image acquisition protocol for each subject includes:

T1, T2 and PD-weighted images MRA images Diffusion-weighted images (15 directions)

The data has been collected at three different hospitals in London:

Hammersmith Hospital using a Philips 3T system (details of scanner parameters) Guy’s Hospital using a Philips 1.5T system (details of scanner parameters) Institute of Psychiatry using a GE 1.5T system (details of the scan parameters not available at the moment)

The data has been collected as part of the project:

IXI – Information eXtraction from Images (EPSRC GR/S21533/02)

The images in NIFTI format can be downloaded from here: This data is made available under the Creative Commons CC BY-SA 3.0 license. If you use the IXI data please acknowledge the source of the IXI data.

IXI contains coil-combined magnitude images for T1-, T2- and PD-weighted acquisition emulated as single-coil data.

MethodThe method of Brudfors et. al. (2020) was used to construct a tissue probability map from T2-weighted and PD-weighted scans of the first 64 subjects from the IXI dataset, along with the T1-weighted scans of the next 64 IXI subjects. The 15 training subjects' scans from the MICCAI Challenge Dataset were also included in the template construction. Default settings were used throughout, except for the regularisation for the diffeomorphic registration, which was set to be higher than the default settings (``Shape Regularisation'' on the user interface was set to [0.0001 0.5 0.5 0.0 1.0]). After merging several of the automatically identified tissue classes, the tissue probability map has 1 mm isotropic resolution, dimensions of 191x243x229 voxels and consists of 11 tissue types, three of which approximately correspond with brain tissues.This image (roughly) contains the logarithms of the tissue probabilities, which can be recovered using a softmax (exp(mu)/(sum(exp(mu)+1)).ReferenceBrudfors M, Balbastre Y, Flandin G, Nachev P, Ashburner J. Flexible Bayesian Modelling for Nonlinear Image Registration. In International Conference on Medical Image Computing and Computer-Assisted Intervention 2020 Oct 4 (pp. 253-263). Springer, Cham.