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Preliminary experience with an intraoperative MRI-compatible infant headholder: technical note.

Frederick A Boop¹, Berkeley Bate, Asim F Choudhri

¹Departments of 1 Neurosurgery.

Journal of Neurosurgery. Pediatrics

|February 14, 2015

Summary

A new MRI-compatible horseshoe headrest enables intraoperative MRI (iMRI) for infants and patients with cranial defects, overcoming limitations of traditional pin fixation. This advance maintains high image quality and integrates with neuronavigation systems.

Keywords:

MPRAGE = magnetization-prepared rapid acquisition gradient echo iMRI = intraoperative MRI infant headholder intraoperative MRI technique

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Area of Science:

Neurosurgery
Medical Imaging
Medical Device Technology

Background:

High-quality intraoperative MRI (iMRI) is crucial for complex intracranial disease management.
Traditional iMRI requires pin fixation, limiting its use in certain patient populations.
Pin fixation poses risks for infants and patients with large cranial defects.

Purpose of the Study:

To evaluate a novel MRI-compatible horseshoe headrest for iMRI.
To assess the feasibility of using this headrest in pediatric patients and those with cranial defects.
To determine if the headrest impacts image quality and neuronavigation accuracy.

Main Methods:

Preliminary experience with an MRI-compatible horseshoe headrest (Visius Surgical Theatre).
Application in 2 infant cases requiring iMRI.
Assessment of image quality, patient tolerance (skin issues), and neuronavigation integration.

Main Results:

The horseshoe headrest enabled iMRI in infants, avoiding pin fixation.
Image quality was equivalent to pin fixation methods.
Neuronavigation remained accurate and could be updated with new iMRI data.
No skin complications were observed in the infant patients.

Conclusions:

The Visius horseshoe headrest is a valuable technical advancement for iMRI.
It expands iMRI applicability to infants and patients with cranial defects or contraindications for pin fixation.
The system provides excellent image quality and seamless integration with neuronavigation.