Simulated brainweb PET/MR data sets for denoising and deblurring

The data set consists of 20 subjects based on the normal anatomical models from the brainweb phantom. See https://brainweb.bic.mni.mcgill.ca/. For each subjectXX the data is organized as follows: image_0.nii.gz -&gt; (1st simulated "random" PET contrast) image_1.nii.gz -&gt; (2nd simulated "random" PET contrast) image_2.nii.gz -&gt; (3rd simulated "random" PET contrast) attenuation_image.nii.gz -&gt; (attenuation image) t1.nii.gz -&gt; (high resolution T1 MR) All data sets have a shape of (220,220,184) and a voxel size of 1mm x 1mm x 1mm and are provided in nifti format.<br> The T1 MR scans and antomical models used to create the ground truth PET images are taken from the BrainWeb: Simulated Brain Database. See: http://www.bic.mni.mcgill.ca/brainweb/<br> C.A. Cocosco, V. Kollokian, R.K.-S. Kwan, A.C. Evans : "BrainWeb: Online Interface to a 3D MRI Simulated Brain Database"<br> NeuroImage, vol.5, no.4, part 2/4, S425, 1997 -- Proceedings of 3-rd International Conference on Functional Mapping of the Human Brain, Copenhagen, May 1997.<br> R.K.-S. Kwan, A.C. Evans, G.B. Pike : "MRI simulation-based evaluation of image-processing and classification methods"<br> IEEE Transactions on Medical Imaging. 18(11):1085-97, Nov 1999.<br> R.K.-S. Kwan, A.C. Evans, G.B. Pike : "An Extensible MRI Simulator for Post-Processing Evaluation"<br> Visualization in Biomedical Computing (VBC'96). Lecture Notes in Computer Science, vol. 1131. Springer-Verlag, 1996. 135-140.<br> D.L. Collins, A.P. Zijdenbos, V. Kollokian, J.G. Sled, N.J. Kabani, C.J. Holmes, A.C. Evans : "Design and Construction of a Realistic Digital Brain Phantom"<br> IEEE Transactions on Medical Imaging, vol.17, No.3, p.463--468, June 1998