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Navigating MRI Scans with a 3D Mouse

4 January 2026

Navigating MRI Scans with a 3D Mouse

A medical imaging project that integrates a 3D SpaceMouse with 3D Slicer for intuitive navigation through MRI volumes.

Projects
Medical Imaging 3D Slicer Python

The Problem

Radiologists and researchers spend hours navigating through volumetric MRI data. The standard workflow involves scrolling through 2D slices with a regular mouse — click, scroll, click, scroll. It works, but it’s not intuitive for 3D data.

What if you could navigate a brain scan the same way you’d explore a 3D model — with natural, spatial movements?

The Solution

This project integrates a 3D SpaceMouse with 3D Slicer, the open-source medical imaging platform. The SpaceMouse has six degrees of freedom (translate X/Y/Z, rotate X/Y/Z), making it ideal for navigating volumetric data.

The integration allows users to:

  • Pan through slices by pushing the SpaceMouse forward/backward
  • Zoom by pulling up/pushing down
  • Rotate the 3D volume reconstruction with natural wrist movements
  • Scroll through axial, sagittal, and coronal planes simultaneously

Technical Implementation

The project works as a 3D Slicer extension that:

  1. Reads SpaceMouse input — Captures the 6DOF input from the device driver
  2. Maps movements to navigation — Translates physical movements into camera/slice transformations
  3. Updates views in real-time — Provides smooth, responsive navigation across all viewport panels
# Map SpaceMouse axes to 3D Slicer navigation
def on_spacemouse_event(tx, ty, tz, rx, ry, rz):
    # Translation controls slice position
    slice_node.SetSliceOffset(current_offset + tz * sensitivity)
    # Rotation controls 3D view camera
    camera.Azimuth(rx * rotation_speed)
    camera.Elevation(ry * rotation_speed)

Use Cases

  • Radiology review — Faster exploration of brain, spine, or abdominal MRI scans
  • Surgical planning — Intuitive 3D navigation for pre-operative review
  • Research — Efficient exploration of large volumetric datasets
  • Education — More engaging way to teach anatomy from real scans

What I Learned

  • Hardware integration adds a surprising amount of complexity — driver compatibility, input mapping, sensitivity tuning.
  • Medical software has high standards for reliability. Even a visualization tool needs to be predictable and responsive.
  • Sometimes the best UX improvement is not a new UI — it’s a better input device.

Try It

The project is open source: navigate-MRI-with-3Dmouse on GitHub