Year: 2025
Type: article
Abstract: Neurosurgical preoperative planning and training require high-fidelity models that accurately replicate the complexity of brain anatomy. Although commercial phantoms offer high visual and mechanical accuracy, they remain prohibitively expensive for training purposes.We present a method for matching tissue densities to suitable agarose gel concentrations and demonstrate a simple procedure for creating a multi-tissue, low-cost, and easily adjustable brain phantom. We also investigated storage stabilities for various agarose gel concentrations, finding that water-based gels at concentrations of 1% or higher exhibited minimal mass loss and maintained structural integrity over time when stored submerged in regular water.
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7124767192
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