AFNI Message Board

Dear AFNI users-

We are very pleased to announce that the new AFNI Message Board framework is up! Please join us at:

https://discuss.afni.nimh.nih.gov

Existing user accounts have been migrated, so returning users can login by requesting a password reset. New users can create accounts, as well, through a standard account creation process. Please note that these setup emails might initially go to spam folders (esp. for NIH users!), so please check those locations in the beginning.

The current Message Board discussion threads have been migrated to the new framework. The current Message Board will remain visible, but read-only, for a little while.

Sincerely, AFNI HQ

History of AFNI updates  

|
January 09, 2018 11:59AM
Dear Colleagues,
We (https://my.vanderbilt.edu/votem/about-me/) would like to invite all interested in diffusion tractography to participate in a tractography challenge that has been endorsed by the IEEE International Symposium on Biomedical Engineering (ISBI). The goal of the challenge, hereafter called 3-D Validation of Tractography with Experimental MRI (3D-VoTEM), is to assess the anatomical accuracy of common and emerging tractography pipelines and algorithms, resulting in novel insights into both the successes and limitations of these techniques. The findings from this competition will be prepared as a high impact manuscript to Sciences Advances.

Please see our URL for full challenge details: [my.vanderbilt.edu]

Additional Challenge Details:
Uniquely, this challenge contains 3 separate datasets/challenges.

(A) The first sub-challenge is based on a 3D anisotropic diffusion phantom, created by Synaptive Medical, which contains complex geometries and anisotropic microstructure intended to mimic linear, crossing, and kissing/touching fiber bundles.

(B) The second-sub challenge features the dataset (provided by the NIH) that has previously been used to provide assessment of both sensitivity and specificity, and anatomical accuracy, of white matter tractography (Thomas et al., PNAS 2014). The dataset is composed of high SNR images of an ex vivo macaque brainat high spatial and angular resolution – a high quality dataset almost devoid of experimental confounds and artifacts that typically arise in in vivo diffusion studies. By using the framework from the original publication, the challenge presents a way to evaluate the anatomical accuracy of several new several new diffusion reconstruction and tracking approaches have been developed.

(C) The third-sub challenge is based on data acquired on the squirrel monkey brain. Both MRI and histological tracer injections were performed on the same specimen, which allows voxel-wise assessment of anatomical accuracy of tractography. In addition, high resolution histology allows spatial analysis of the errors of tractography.

Joining the challenge
To access the data and participate in the challenge, simply join each of the three challenges following the steps outlined on [my.vanderbilt.edu] navigate the user through the Synapse challenge interface.

Challenge Timeline
Submission site will be open from January 15-March 4. ISBI 2018 is on April 4.

Contact email
votem-organizers@googlegroups.com
Subject Author Posted

Tractography Challenge

cibuthomas January 09, 2018 11:59AM