Emulation of Brain Metabolic Activities Based on a Dynamically Controllable Optical Phantom.
Yuxiang Lin1, Cheng Chen1, Zhouchen Ma1
1Department of Micro-Nano Electronics, Shanghai Jiao Tong University, Shanghai, China.
Cyborg and Bionic Systems (Washington, D.C.)
|December 18, 2024
Summary
Researchers developed a novel dynamic optical phantom to simulate brain metabolic activities. This tool accurately mimics near-infrared spectroscopy (NIRS) signals, advancing brain imaging research.
Area of Science:
- Biomedical Optics
- Neuroimaging
- Materials Science
Background:
- Accurate simulation of brain metabolic activities is crucial for advancing neuroimaging techniques like near-infrared spectroscopy (NIRS).
- Existing optical phantoms often lack the dynamic range and control needed to mimic complex physiological changes.
- Developing advanced phantoms is essential for validating NIRS instrumentation and algorithms.
Purpose of the Study:
- To present a novel dynamic optical phantom capable of simulating brain metabolic activities.
- To establish a linear equivalent model for controlling substance concentration via voltage.
- To enhance the simulation capabilities for near-infrared spectroscopy (NIRS) signals.
Main Methods:
- Fabrication of a solid-solid dynamic optical phantom using epoxy resin, nanometer carbon powder, and titanium dioxide powder.
- Integration of liquid crystal film as a voltage-controlled light intensity regulator.
- Validation of the phantom's ability to mimic oxy-hemoglobin and deoxy-hemoglobin concentration changes.
Main Results:
- The dynamic phantom successfully mimicked near-infrared spectrum (NIRS) signals with a sampling rate up to 10 Hz.
- Maximum simulation errors for oxy-hemoglobin and deoxy-hemoglobin concentrations were 7.0% and 17.9%, respectively.
- The adjustable mimic substance concentration range was extended by an order of magnitude compared to similar phantoms.
Conclusions:
- The developed dynamic optical phantom provides a robust platform for simulating brain metabolic activities.
- The phantom's performance meets the simulation requirements for most brain NIRS applications.
- This advancement facilitates more accurate validation and development of NIRS-based neuroimaging technologies.


