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Brain Imaging

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...

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Related Experiment Video

Updated: May 21, 2025

Author Spotlight: Streamlined Brain and Skull Modeling for Enhanced Neurosurgical Planning in NHP Research

Author Spotlight: Streamlined Brain and Skull Modeling for Enhanced Neurosurgical Planning in NHP Research

Published on: February 9, 2024

Creating anatomically derived, standardized, customizable, and three-dimensional printable head caps for functional

Ashlyn McCann¹, Edward Xu¹, Fan-Yu Yen¹

¹Northeastern University, Department of Bioengineering, Boston, Massachusetts, United States.

|March 19, 2025

Summary

This summary is machine-generated.

We developed NeuroCaptain, an open-source software for 3D printing custom neuroimaging caps. This tool ensures accurate probe placement for reproducible functional neuroimaging studies.

Keywords:

10-20 system 3D printing electroencephalography functional near-infrared spectroscopy head cap mesh generation personalized medicine

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Last Updated: May 21, 2025

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Area of Science:

Neuroimaging
Biomedical Engineering
Computer Science

Background:

Accurate probe placement is essential for reproducible functional neuroimaging.
Current headgear designs lack standardization for diverse probe configurations and experimental needs.

Purpose of the Study:

To provide an open-source software pipeline for creating low-cost, 3D printable neuroimaging head caps.
To integrate anatomically significant landmarks into head cap designs for improved accuracy.

Main Methods:

Utilized a 3D head mesh generation toolbox and 10-20 head landmark calculations.
Converted subject anatomical scans or atlases into 3D printable head cap models.
Developed a Blender add-on named 'NeuroCaptain' for streamlined cap design and customization.

Main Results:

Created various head cap models using brain atlases via an intuitive user interface.
Resulting mesh-based designs are 3D printable with off-the-shelf equipment.
Designs accurately preserve head geometry and anatomical landmarks.

Conclusions:

NeuroCaptain offers a widely accessible tool for designing, customizing, and fabricating personalized head caps.
The open platform facilitates the proposal of standardizable head caps for multi-center data collection.
This approach enhances accuracy and reproducibility in functional neuroimaging studies.