title: Tractometer: online evaluation system for tractography.
abstract: We have developed a tractometer: an online evaluation system for tractography processing pipelines. One can now evaluate the end effects on fiber tracts of different acquisition parameters (b-value, number of directions, denoising or not, averaging or not), different local estimation techniques (tensor, q-ball, spherical deconvolution, spherical wavelets) and to different tractography parameters (masking, seeding, stopping criteria). At this stage, the system is solely based on a revised FiberCup analysis, but we hope that the community gets involved and provides us with new phantoms, new algorithms, third party libraries and new geometrical metrics, to name a few. We believe that the new connectivity analysis and tractography characteristics proposed can highlight limits of the algorithms and contribute in elucidating the open questions in fiber tracking: from raw data to connectivity analysis.
authors.affiliation: Sherbrooke Connectivity Imaging Laboratory, Computer Science Department, Université de Sherbrooke, Sherbrooke, Canada.
authors.forename: Marc-Alexandre
authors.initials: MA
authors.lastname: Côté
authors.forename: Arnaud
authors.initials: A
authors.lastname: Boré
authors.forename: Gabriel
authors.initials: G
authors.lastname: Girard
authors.forename: Jean-Christophe
authors.initials: JC
authors.lastname: Houde
authors.forename: Maxime
authors.initials: M
authors.lastname: Descoteaux
mesh_terms: D000465:Algorithms; D001921:Brain / Q000473:pathology*; D001931:Brain Mapping / Q000379:methods; D003952:Diagnostic Imaging / Q000379:methods*; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D009462:Neurology / Q000379:methods; D009862:Online Systems; D019047:Phantoms, Imaging; D015203:Reproducibility of Results; D012984:Software