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Docker based Gear that runs the Reproducible Tract Profiles (RTP) pipeline

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RTP pipeline

Reproducible Tract Profiles pipeline.

Reproducible Tract Profiles (RTP) comprises a set of methods to manage and analyze diffusion weighted imaging (DWI) data for reproducible tractography. The tools take MRI data from the scanner and process them through a series of analysis implemented as Docker containers that are integrated into a modern neuroinformatics platform (Flywheel). The platform guarantees that the entire pipeline can be re-executed, using the same data and computational parameters. In this paper, we describe (1) a cloud based neuroinformatics platform, (2) a tool to programmatically access and control the platform from a client, and (3) the DWI analysis tools that are used to identify the positions of 22 tracts and their diffusion profiles. The combination of these three components defines a system that transforms raw data into reproducible tract profiles for publication.

RTP uses parts of these tools (depending on the selected options):

  1. mrTrix 3
  2. mrVista, mrDiffusion and AFQ
  3. Ensemble Tractography (ET)
  4. LiFE/SIFT2(TODO)
  5. ANTs
  6. SPM

The documentation is in the wiki:

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Docker based Gear that runs the Reproducible Tract Profiles (RTP) pipeline

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