DCEMapper offers two installation paths. Windows users can download a pre-built executable from the GitHub Releases page and run it immediately — no Python environment required. Developers, researchers on other platforms, or anyone who wants to modify the source code can instead clone the repository and create a Conda environment from the includedDocumentation Index
Fetch the complete documentation index at: https://mintlify.com/Rubick65/dcemapper/llms.txt
Use this file to discover all available pages before exploring further.
environment.yml file.
DCEMapper requires Python 3.13 (specifically
python=3.13.9 as pinned in environment.yml). If you are installing from source, make sure your Conda installation supports this version.- Windows Executable
- From Source
The fastest way to get started on Windows is the pre-built executable:
- Open the DCEMapper GitHub repository in your browser.
- Click the Releases section on the right-hand side of the repository page.
- Under the latest release, locate and download
DCEMapper.exe. - Double-click the downloaded file to launch the application.
Python dependencies
The key Python packages installed by
environment.yml (pip section) are:- PyQt6 — Desktop GUI framework
- nibabel — NIfTI file I/O
- dipy — Diffusion/MRI processing (denoising, Gibbs removal)
- numpy — Numerical array operations
- scipy — Scientific computing utilities
- scikit-image — Image processing algorithms
- matplotlib — Canvas rendering and interactive selectors
- brkraw — Bruker raw data conversion to NIfTI
environment.yml for the full list of pinned versions.