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Related Experiment Video

Updated: Jun 5, 2026

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping
09:55

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping

Published on: June 13, 2025

Unified framework for development, deployment and robust testing of neuroimaging algorithms.

Alark Joshi1, Dustin Scheinost, Hirohito Okuda

  • 1Department of Diagnostic Radiology, Yale University, 300 Cedar Street, New Haven, CT 06520, USA. alark1@gmail.com

Neuroinformatics
|January 21, 2011
PubMed
Summary

Related Concept Videos

Brain Imaging01:14

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).

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A new object-oriented framework simplifies neuroimaging algorithm development. This enables easier use, testing, and deployment of medical image analysis tools across platforms.

Area of Science:

  • Medical image analysis
  • Neuroimaging software development
  • Computer-assisted interventions

Background:

  • Developing user interfaces for neuroimaging algorithms is complex and time-consuming.
  • Effective deployment requires consistent interfaces, cross-platform results, and rigorous testing.
  • Accessibility of advanced algorithms is limited by development and deployment challenges.

Purpose of the Study:

  • To present a novel object-oriented framework for rapid development of neuroimaging algorithms.
  • To facilitate the creation of reusable components and graphical user interface controls.
  • To ensure algorithm stability, cross-platform interoperability, and ease of use.

Main Methods:

  • Designed and implemented an object-oriented framework encapsulating all functionality into a single software object.

Related Experiment Videos

Last Updated: Jun 5, 2026

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping
09:55

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping

Published on: June 13, 2025

  • Integrated reusable components for efficient algorithm development.
  • Incorporated features for simplified, robust nightly testing and cross-platform deployment.

    • Main Results:

    • The framework enables rapid development of complex image analysis algorithms.
    • It simplifies the addition of graphical user interface controls.
    • Nightly testing ensures algorithm stability and cross-platform interoperability.
    • The framework has been deployed at Yale and released as open-source BioImage Suite.

    Conclusions:

    • The object-oriented framework streamlines the development of novel, stable, and user-friendly neuroimaging algorithms.
    • It is ideal for medical image analysis and computer-assisted interventions.
    • The open-source release promotes wider adoption and accessibility of advanced neuroimaging tools.