This is VVV, a tentative successor to VV (https://github.com/open-vv)

VVV is a software to view 3D/4D (medical) images.

Goal

• fast, research-oriented, "minimalist"
• command line + keyboard driven

Features:

• 3D/4D image slice viewer (most file formats supported, mhd, nii, nrrd, etc.)
• Command line based: vvv ct.nii.gz
• Multi-Planar slicing (MPR): instantly switch between Axial, Coronal, and Sagittal orientations (F1, F2, F3)
• Images synchronization, sub-pixel accuracy
• Overlays: crosshairs, tracker, scalebar
• Window/Level control, Colormap, auto-windowing
• Fusion of two images: alpha blending, registration difference, checkerboard
• Basic ROI masks management (load binary mask images)
• Basic DICOM browser
• Session management: save workspaces to file
• History: automatically remembers images last views.

Installation

    git clone https://github.com/dsarrut/vvv
    cd vvv
    pip install -e .

Command line

    vvv ct.nii.gz spect.nii.gz -s    # load the two images, synchronize
    vvv ct.nii.gz, spect.nii.gz, jet  # load two images, fuse them with jet colormapping
    vvv my_session.vvw # restore the session for the file
    

Screenshots