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A system for building mouse brain atlas from histology series and automated alignment to atlas

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We are in the process of consolidating the code and moving them to a new repository.

For technical details, please reference the following paper:

  • The Active Atlas: Combining 3D Anatomical Models with Texture Detectors, Yuncong Chen et al., MICCAI 2017 [pdf]

User Guides

Explanations for how to install and run the code, intended for the non-programmer, are in the User Guide.

Code Structure

Main Pipeline

  • annotation: code related to processing human annotations
  • gui: code for two GUIs
    • brain labeling GUI (used to annotate landmarks in brain)
    • preprocessing GUI: processing raw images, remoing background, aligning stack.
  • learning: code for extracting patches, generating features, training classifiers and processing score maps
  • preprocess: code for preprocessing
  • reconstruct: code for reconstructing volumes
  • registration: code for 3D registration
  • utilities: utilities code
  • visualization: notebook for testing visualization code
  • web_service: code for the web service that accept request for preprocessing and other tasks from GUI.
  • intensity: codes for running intensity-based registration methods (via third-party program elastix).

Utilities

  • utilities: utility modules
  • 3d: code for rendering and displaying 3D models. Implementation uses VTK.
  • aws: setup scripts for cfncluster.

Side Projects

  • spm: experiments about represent textures using SPM (Spatial Pyramid Matching)
  • snake: experiments about active contour methods
  • adaboost_m2
  • cells: classification using cell-based texture descriptors.
  • dictionary: experiments for dictionary learning methods.
  • new_region:

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A system for building mouse brain atlas from histology series and automated alignment to atlas

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