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Simulated brainweb PET/MR data sets for denoising and deblurring

<p>The data set consists of 20 subjects based on the normal anatomical models from the brainweb phantom. See <a href="https://brainweb.bic.mni.mcgill.ca/">https://brainweb.bic.mni.mcgill.ca/</a>.</p> <p>For each subjectXX the data is organized as follows:</p> <ol> <li>image_0.nii.gz -&gt; (1st simulated &quot;random&quot; PET contrast)</li> <li>image_1.nii.gz -&gt; (2nd simulated &quot;random&quot; PET contrast)</li> <li>image_2.nii.gz -&gt; (3rd simulated &quot;random&quot; PET contrast)</li> <li>attenuation_image.nii.gz -&gt; (attenuation image)</li> <li>t1.nii.gz -&gt; (high resolution T1 MR)</li> </ol> <p>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.</p> <p>See:</p> <p>&nbsp;&nbsp;&nbsp; http://www.bic.mni.mcgill.ca/brainweb/<br> &nbsp;&nbsp;&nbsp; C.A. Cocosco, V. Kollokian, R.K.-S. Kwan, A.C. Evans : &quot;BrainWeb: Online Interface to a 3D MRI Simulated Brain Database&quot;<br> &nbsp;&nbsp;&nbsp; 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> &nbsp;&nbsp;&nbsp; R.K.-S. Kwan, A.C. Evans, G.B. Pike : &quot;MRI simulation-based evaluation of image-processing and classification methods&quot;<br> &nbsp;&nbsp;&nbsp; IEEE Transactions on Medical Imaging. 18(11):1085-97, Nov 1999.<br> &nbsp;&nbsp;&nbsp; R.K.-S. Kwan, A.C. Evans, G.B. Pike : &quot;An Extensible MRI Simulator for Post-Processing Evaluation&quot;<br> &nbsp;&nbsp;&nbsp; Visualization in Biomedical Computing (VBC&#39;96). Lecture Notes in Computer Science, vol. 1131. Springer-Verlag, 1996. 135-140.<br> &nbsp;&nbsp;&nbsp; D.L. Collins, A.P. Zijdenbos, V. Kollokian, J.G. Sled, N.J. Kabani, C.J. Holmes, A.C. Evans : &quot;Design and Construction of a Realistic Digital Brain Phantom&quot;<br> &nbsp;&nbsp;&nbsp; IEEE Transactions on Medical Imaging, vol.17, No.3, p.463--468, June 1998</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4

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