Build Release

Download Links: “Hou” Versions (2025-)

Download and unzip the package to run DSI Studio. No installation is needed.

DSI Studio is updated frequently, and computational results may differ between versions. For reproducibility, keep a local copy of the DSI Studio version used for each research project. It is usually best to update DSI Studio when starting a new project, not in the middle of an ongoing analysis.

Which file should I download?

OS File Notes
Windows 10/11 x64 GPU version for NVIDIA GPU
CPU version
Unzip the file and run dsi_studio.exe.
If DLL files are missing, install the Microsoft Visual C++ Redistributable.
The GPU version may require an updated NVIDIA driver and/or CUDA Toolkit 11.8.
macOS 13+ Apple Silicon version (M1/M2/M3/M4)
Intel version
Unzip the file and run dsi_studio.app.
If macOS reports that the app is damaged or cannot be opened because it is not notarized, run:
xattr -rd com.apple.quarantine /path/to/dsi_studio.app
You may drag dsi_studio.app into Terminal after typing the command to fill in the path.
Known issue: the file-open dialog may crash when opening files stored on some cloud drives. If this happens, copy the data to a local folder first.
Ubuntu x86_64 GPU versions for NVIDIA GPU:
Ubuntu 20.04
Ubuntu 22.04
Ubuntu 24.04

CPU versions:
Ubuntu 20.04 CPU
Ubuntu 22.04 CPU
Ubuntu 24.04 CPU
Choose the package closest to your Ubuntu version.
If there is an error related to libQt6Charts, run:
sudo apt install libqt6charts6-dev
If there is an error related to xcb, check this forum solution.
Ubuntu arm64 GPU versions for NVIDIA GPU:
Ubuntu 22.04 arm64
Ubuntu 24.04 arm64

CPU versions:
Ubuntu 22.04 arm64 CPU
Ubuntu 24.04 arm64 CPU
For Linux arm64 desktops or workstations.
If there is an error related to libQt6Charts, run:
sudo apt install libqt6charts6-dev
If there is an error related to xcb, check this forum solution.
Docker Docker Hub image:
dsistudio/dsistudio:latest
Command-line use:
docker run -ti --rm -v "$PWD":/data dsistudio/dsistudio:latest dsi_studio --help

Linux GUI use with X11:
xhost +local:docker
docker run -ti --rm -e DISPLAY=$DISPLAY -v /tmp/.X11-unix:/tmp/.X11-unix -v "$PWD":/data dsistudio/dsistudio:latest

Alternate download in China: 百度网盘

New in Hou versions

Previous Versions

Major Changes

License

DSI Studio offers dual licensing options for academic and commercial users.

Academic License

DSI Studio is free for academic users under the Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0). View the full license agreement here.

Commercial License

Please contact frank.yeh@gmail.com about the commercial license.

Hardware Recommendations

DSI Studio can run on a regular desktop or laptop. Large tractography or connectomics workflows benefit from a workstation with:

  1. A modern multi-core CPU.
  2. 64 GB RAM or more for large datasets.
  3. A fast NVMe SSD for image data and temporary files.
  4. An NVIDIA GPU for CUDA acceleration if using GPU-enabled functions.
  5. Windows 10/11 or Ubuntu 22.04/24.04 for the broadest compatibility.