Tractometer: towards validation of tractography pipelines

Med Image Anal. 2013 Oct;17(7):844-57. doi: 10.1016/j.media.2013.03.009. Epub 2013 Apr 25.

Abstract

We have developed the Tractometer: an online evaluation and validation system for tractography processing pipelines. One can now evaluate the results of more than 57,000 fiber tracking outputs using different acquisition settings (b-value, averaging), different local estimation techniques (tensor, q-ball, spherical deconvolution) and different tracking parameters (masking, seeding, maximum curvature, step size). At this stage, the system is solely based on a revised FiberCup analysis, but we hope that the community will get involved and provide 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 solving open questions in fiber tracking: from raw data to connectivity analysis. Overall, we show that (i) averaging improves quality of tractography, (ii) sharp angular ODF profiles helps tractography, (iii) seeding and multi-seeding has a large impact on tractography outputs and must be used with care, and (iv) deterministic tractography produces less invalid tracts which leads to better connectivity results than probabilistic tractography.

Keywords: ABC; Analytical Orientation Distribution Function (ODF); Average Bundle Coverage; CC; CSF; CST; Cerebral Spinal Fluid; Cg; Cingulum; Connectivity analysis; Constant Solid Angle ODF; Corpus Callosum; Corticospinal Tract; DTI; DWI; Diffusion MRI; Diffusion Tensor Imaging; Diffusion Weighted Imaging; FA; Fiber ODF; Fractional Anisotropy; GM; Grey Matter; HARDI; High Angular Resolution Diffusion Imaging; IB; IC; Invalid Bundles; Invalid Connections; NC; No Connections; ODF; Orientation Distribution Function; ROI; Region Of Interest; Runge–Kutta; SD-r6; SLF; Spherical Deconvolution of maximal SH order 6 (r6); Superior Longitudinal Fasciculus; TEND; Tensor Advection; Tractography; VB; VC; Valid Bundles; Valid Connections; Validation; WM; White Matter; a-ODF; csa-ODF; dMRI; diffusion Magnetic Resonance Imaging; fODF; maximal SH order 6; r6; rk.

MeSH terms

  • Algorithms
  • Artificial Intelligence
  • Brain / cytology*
  • Diffusion Tensor Imaging / methods*
  • Humans
  • Image Enhancement / methods
  • Image Interpretation, Computer-Assisted / methods*
  • Imaging, Three-Dimensional / methods
  • Internet*
  • Nerve Fibers, Myelinated / ultrastructure*
  • Online Systems
  • Pattern Recognition, Automated / methods*
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Software*