CMIC - NiftyWeb

ONLINE MODALITY-AGNOSTIC PATCH-BASED TECHNIQUE FOR LESION FILLING IN MULTIPLE SCLEROSIS (FIFO QUEUE)

The "Online filling lesions tool" is a fully automated software-as-service tool, which uses the modality-agnostic fill lesion technique of Prados et al. to fill any MRI images. Fill lesions is implemented as part of NiftySeg.

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

Smothing:

Mask dilation:

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

[Select files - T1 images]

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

[Select files - Binarised lesion mask in the same order than 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 files and run the lesion filling

The queue is empty and FILLING is ready to process your files!
Total files processed so far: 331/331

Publications on Filling Lesions

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

F. Prados, M. J. Cardoso, B. Kanber, O. Ciccarelli, R. Kapoor, C. A. M. Gandini Wheeler-Kingshott, S. Ourselin. A multi-time-point modality-agnostic patch-based method for lesion filling in multiple sclerosis. Neuroimage 139, 376-384 (2016).
F. Prados, M. J. Cardoso, D. MacManus, C. A. M. Wheeler-Kingshott, S. Ourselin. A modality agnostic patch-based technique for lesion filling in Multiple Sclerosis. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014. Lecture Notes in Computer Science Volume 8674, 2014, pp 781-788.
http://niftyweb.cs.ucl.ac.uk/
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

DISCLAIMER: THIS ONLINE TOOL IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.