Parametric 3D visualization for neuromodulation, spine and orthopaedics

Every node counts.

Animation studios draw pictures that look plausible but can’t compute anything. Simulation consultancies compute correctly but rarely deliver figures you’d put on a congress screen. I work between the two. Everything starts from real geometry and is generated by script, so another spinal level, approach or lead configuration costs a fraction of the first version.

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  1. Mesh White and grey matter and the rootlets as nodes and edges, the way a finite-element model sees them.
  2. Surface The same geometry, shaded. Rootlets gather into the dorsal and ventral roots; the cut end shows the grey matter’s horns.
  3. Neural function The cord turns clear. Sensory signals come in through the dorsal root ganglia and rootlets, into the dorsal horns and up the dorsal columns; motor signals leave the ventral horns through the ventral rootlets.
  4. Node to node From the whole segment into one dorsal rootlet, then one myelinated fibre inside it, centimetres down to micrometres. The signal jumps between gaps in the myelin sheath, the nodes of Ranvier.
Stylized spinal cord segment, turned clear, with its rootlets gathering into the roots and signals glowing along the fibres

Spinal cord segment

Stylized illustration, not a simulation.

Services

I also offer modelling consultation and technical review.

Work

How it’s made

The cord segment and a root with its ganglion as a surface mesh, with the white and grey matter triangulated on the cut face

Mesh

The same segment rendered, white matter around the butterfly-shaped grey matter on the cut face, rootlets gathering into a root beside it

Render

The render with effects added, a glow along the fibre tracts in the dorsal columns

Effects

Stylized illustration, not a simulation.

One segment in three stages: the mesh the scene is built from, the render, and effects layered on top, here a glow that marks activation along the dorsal columns. Effects like these can carry information or simply make a picture easier to read.

About

I’m a PhD researcher in spinal cord stimulation. I build volume-conductor and fibre activation models, reconstruct anatomy from MRI, and work with electrophysiological recordings. Before that I worked in industry on AI and software development.

More about me and how projects run

Have a device, procedure or dataset you need to show?

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