AIMS documentation

AIMS meant something like “Analysis of Images and Signals” but nobody really knows what it exactly means now…

Anyway it is the neuroimaging structures manipulation library of the BrainVISA project.

General

Tutorial

AIMS tuorial

Overview: what is there in the AIMS libraries

A non-exhaustive overview of features found in the set of AIMS libraries (cartobase, soma-io, cartodata, aimsdata, aimsalgo, graph)

  • data structures

    • “small” or “simple” objects

      • AimsVector

      • GenericObject / Object

    • Neuroimaging structures

      • Volume

      • Mesh

      • Texture

      • Bucket

      • Graph (ROIs, sulci, fiber bundles…)

      • SparseMatrix

      • Transformattion

      • TransformationGraph

  • IO

    • multiple file formats support

    • partial IO

    • hierarchic (pyramidal) IO

  • Algorithms

    • data Conversion

    • Histogram

    • Connected components

    • connected components on meshes

    • Resampling (linear + FFD)

    • MorphoMath

    • Meshing

    • Mesh smoothing, decimation

    • Topological classification

    • Distance maps (chamfer, fast marching…)

    • Distance maps on meshes (+ Dijkstra)

    • Watershed

    • Filering / convolution / smoothing (Gaussian, Laplacian)

    • Smoothing on Volumes and meshes textures

    • Registration (MIRegister, FFD)

    • Sulci graphs tools

    • Interpolation

    • Mesh manipulation (merge, cut, volume, surface area, …)

  • Mesh / Volume intersection mapping

Developers section

C++ API docs

Beginning of programming tutorial

AIMS library C++ API

AIMS is also composed of several sub-projects:

  • Carto data: neuroimaging data structures and IO implementations

  • AIMS data: image processing basics (this doc)

  • AIMS algo: algorithms for AIMS

  • Graph: high-level graphs library

  • AIMS GUI: Qt-based GUI classes for AIMS

  • Soma-IO: C++ general IO libraries, containing these sub-projects:

PyAIMS: in Python

PyAIMS documentation

Sources repository

The main repository is now on gitHub: https://github.com/brainvisa/aims-free.

Building sources and using AIMS for custom programs

Projects are mainly in C++ and Python language. As BrainVISA is modular, it is made of multiple projects, which are separated by scope, aim, maintainers, language, and licence. To build the whole thing, we needed a tool to build an aggregation of the various projects. This tool is based on CMake but needed a higher-level tool to glue the various projects. This is the role of the brainvisa-cmake project of BrainVisa, and its main program, bv_maker.

The easiest way to install it is using casa-distro containers - see info on https://dev.brainvisa.info.

At lower level, instructions on how to use it are available on the BrainVISA web server:

Miscelaneous