Welcome to the Tractometer website!
The Tractometer is a tractography evaluation tool. It is used to evaluate the end effects on fiber tracts of different :
- acquisition parameters & artefacts (b-value, number of directions, denoising or not, averaging or not)
- local estimation & modeling techniques (tensor, q-ball, spherical deconvolution, spherical wavelets, compartment models)
- tractography parameters (masking, seeding, stopping criteria)
- tractography algorithms (deterministic, probabilistic, geodesics, global).
- 2015-07-20: The ground truth DWI of the ISMRM 2015 Tractography challenge has been updated. There also is a new archive containing the basic data needed to generate the ground truth DWI with Fiberfox. See the data page
- 2015-07-01: The ground truth datasets of the ISMRM 2015 Tractography challenge are now available on the data page.
- 2015-06-22: The results of the ISMRM 2015 Tractography challenge have been updated to include Angular Error scores and bundle specific scores.
- 2015-06-15: The results of the ISMRM 2015 Tractography challenge are now available.
- A new paper on the Tractometer has been published in Medical Image Analysis. See the references page for more information.
- Results based on the 2013 ISBI Hardi reconstruction challenge phantom should soon have their own section.
The first set of experiments used to produce results for the Tractometer (presented at MICCAI 2012) were based on a revisited
The Tractometer was also used to generate results and evaluate the submissions to the 2013 ISBI Hardi reconstruction challenge.
More recently, the Tractometer was used to score the ISMRM 2015 tractography challenge. Very interesting results were presented in the talk that was given during the Diffusion Study Group session at ISMRM 2015. The slides are available here.
The current goal for the Tractometer is to make it easier for people to submit new phantoms, datasets, tractograms and tractography methods so that better insights can be gained on the current trends.
The Tractometer can highlight limits of the algorithms and contribute to elucidating the open questions in diffusion MRI fiber tracking processing pipelines : from raw data to connectivity analysis.