CMIC - NiftyWeb

Online MRI (NIFTI) to 3D printing (STL) conversor

It is a challenging endeavour to extract the mesh of a whole brain, any specific brain tissue or any particular area from a magnetic resonance image. With the suppport of 3D-MED, we have developed a pipeline based on GIF that will help you to do just that. You only need to choose the tissue that you want to extract and upload a T1-weighted image in NIFTI format. We will compute it, and send an email with STL file ready for printing in any 3D printer, it will include the result as a NIFTI as well. If you want a personalised set of regions you can choose them from this list.

The results will be sent to the following e-mail address:

Choose a tissue mask:

Choose the region of interest specificying a number, or a set of numbers split by commas (e.g.: 25,35,49), from this list:

Select files (Maximum of 5 files with 100 Mb each in .nii or nii.gz formats):

[Select files - T1 images]

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By filling in this form I agree to have the provided email address stored in order to use it as email address to send the requested results. I allow use of this email address for contacting me about the project. I understand that NiftyWeb will not disclose this information to any other parties.

Upload T1 MRI files, choose the brain area and run the MRI to 3D printing file converter.

The queue is empty and PRINTING is ready to process your files!
Total files processed so far: 519/519

Publications:

We would appreciate it if the following references would be included in any published work that uses this resource:

Daniil I. Nikitichev, Anamaria Barburas, Kirstie McPherson, Jean-Martial Mari, Simeon J. West, Adrien E. Desjardins. Construction of 3-dimensional printed ultrasound phantoms with wall-less vessels. Journal of Ultrasound in Medicine, 35 (6), 1333-1339. (2016)
M. Jorge Cardoso, Marc Modat, Robin Wolz, Andrew Melbourne, David Cash, Daniel Rueckert, and Sebastien Ourselin.Geodesic Information Flows: Spatially-Variant Graphs and Their Application to Segmentation and Fusion. IEEE Transactions on Medical Imaging, 34(9), 1976-1988. (2015)
Ferran Prados, M. Jorge Cardoso, Ninon Burgos, Claudia AM Wheeler-Kingshott, Sebastien Ourselin. NiftyWeb: web based platform for image processing on the cloud. International Society for Magnetic Resonance in Medicine (ISMRM) 24th Scientific Meeting and Exhibition - Singapore 2016
http://niftyweb.cs.ucl.ac.uk/
http://www.3d-med.co.uk/

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