populse_logo

A project aimed to provide pipeline calculation tools to the neuroimaging community

capsul:

Python library to chain algorithms in pipelines

mia_processes:

The official bricks library for populse_mia

mriconv:

MRI File Manager allows the reading of some raw and processed data files from MRI Spectrometers:

It also allows for converting MRI images to Nifti-1:

populse_db:

The database API of the populse project

populse_mia:

Multiparametric Image Analysis (populse_mia or MIA) is intended to be a complete image processing environment mainly targeted at the analysis and visualisation of large amounts of MRI data. In this environment, a process pipeline can be easily built by sequentially linking a succession of atomic computation (brick). Pipeline metadata as well as input, output or intermediate data are automatically managed by a database integrated into the environment. MIA is written in Python and is mainly based on populse’s API, such as caspul, populse_db or soma_workflow.

soma-base:

Miscellaneous libs for the python environment of Populse / BrainVISA

soma-workflow:

A unified and simple interface to parallel computing resource

Parallel computing resources are now highly available: multiple core machines, clusters or grids. Soma-workflow is a unified and simple interface to parallel computing resources which aims at making easier the use of parallel resources by non expert users and software.