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BOLD signal simulation and fMRI quality control base on an active phantom: a preliminary study.
Tiao Chen1,2,3, Yue Zhao4, Chuntao Jia4
1Medical Engineering and Technology Research Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271016, China.
Medical & Biological Engineering & Computing
|February 9, 2020
Summary
A novel active phantom simulates blood-oxygen-level-dependent (BOLD) signals for functional MRI (fMRI) quality control. This device demonstrates stability, repeatability, and adaptability across different MRI scanners, ensuring reliable fMRI data acquisition.
Area of Science:
- Medical Imaging
- Biophysics
- Neuroimaging
Background:
- Functional magnetic resonance imaging (fMRI) commonly uses the blood-oxygen-level-dependent (BOLD) signal to map brain activity.
- Simulating the BOLD signal is challenging due to its low amplitude (1-3%) and sensitivity to multiple factors.
- Quantitative quality control for fMRI is essential for reliable and reproducible results.
Purpose of the Study:
- To design and construct an active phantom capable of simulating BOLD signals.
- To evaluate the stability and repeatability of the designed phantom across different MRI scanners.
- To assess the phantom's utility for quantitative quality control in fMRI.
Main Methods:
- An active phantom with two perpendicular loops was constructed to simulate BOLD signals via controlled vibration currents.
- The phantom's BOLD signal simulation was tested on three MRI scanners: Siemens Skyra (3.0 T), Siemens Verio (3.0 T), and GE Signa (1.5 T).
- Stability, repeatability, signal-to-noise ratio (SNR), ghosting ratio, and stimuli detection efficiency were quantified.
Main Results:
- The phantom demonstrated high stability at baseline with average signal variation below 1% across scanners.
- High SNR values (2326.58 and 2389.24) and low ghosting ratios (0.39% and 0.38%) were achieved.
- Percent signal change (PSC) values ranged from 1-3% across scanners, with consistent activation areas detected, indicating high reproducibility.
Conclusions:
- The developed active phantom reliably simulates BOLD signals for fMRI.
- The phantom exhibits excellent adaptability to different MRI scanners and is easy to operate.
- This phantom serves as a valuable tool for quantitative quality control in fMRI, enhancing data reliability.

