Skip to content
The BCI Briefing

Electrode localization · Processing

img_pipe

An imaging pipeline for locating ECoG electrodes on a patient's cortical surface.

  • Specialized
  • Research-focused
  • Quiet
github.com/ChangLabUcsf/img_pipe (opens in a new tab)

What problem does it solve?

Decoding from ECoG depends on knowing where each electrode sits. img_pipe co-registers CT and MRI and labels electrodes anatomically.

Who is it for?

ECoG and sEEG research groups

At a glance

Primary use
Electrode localization
Licence
Not specified in repository · copyleft or unspecified
Language
Python
Current release
No tagged release on GitHub
Development activity
Last commit 20 Jun 2024 · repository created 2 Feb 2017
Maintainers
Chang Lab, UCSF
GitHub stars
68 as of 3 Oct 2026

Repository facts are a snapshot read from the GitHub API on 3 Oct 2026; they are reported as found, not scored.

Supported modalities and use

Modalities

Real-time capability

Primarily for offline analysis

Common use cases

  • CT–MRI co-registration
  • Anatomical labelling of electrodes
  • Surface plots

How it fits into a BCI stack

  1. Hardware

    2 tools

  2. Acquisition

    3 tools

  3. Streaming

    3 tools

  4. Processing

    img_pipe

  5. Decoding

    4 tools

  6. Applications

    2 tools

  7. Data & standards

    3 tools

Publications

Sources

  1. 01

    github.com/ChangLabUcsf/img_pipe (opens in a new tab)

    Open-source repositoryGitHubChecked against source 3 Oct 2026

    Repository metadata read from the GitHub API.