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A database for MR-based electrical properties tomography with in silico brain data-ADEPT
T G Meerbothe1,2, E F Meliado1,2, P R S Stijnman1,2
1Department of Radiotherapy, Division of Imaging and Oncology, University Medical Center Utrecht, Utrecht, The Netherlands.
Magnetic Resonance in Medicine
|October 25, 2023
Summary
A new database, ADEPT, provides simulated brain MR-based electrical properties tomography (EPT) data. This resource enables objective comparison and standardization of EPT reconstruction methods, crucial for clinical applications.
Area of Science:
- Medical Imaging
- Computational Electromagnetics
- Biophysics
Background:
- MR-based electrical properties tomography (EPT) methods require standardized data for performance comparison.
- Lack of common datasets hinders objective evaluation and clinical adoption of EPT techniques.
Purpose of the Study:
- To create ADEPT, a database of simulated in silico data for brain MR-EPT reconstructions.
- To facilitate objective comparison, training, and testing of EPT reconstruction algorithms.
Main Methods:
- Generated 120 diverse brain models (25 base models, with/without tumors) with varied tissue electrical properties.
- Utilized finite-difference time-domain simulations (Sim4Life) to compute electromagnetic fields for MR-EPT.
- Applied rigid geometric augmentations to enhance model variability.
Main Results:
- Simulated electromagnetic fields (transmit/receive RF, transceive phase) and ground-truth electrical properties for 84 healthy and 36 tumor brain models.
- Publicly released relevant fields and electrical properties via the ADEPT database.
- Provided access to additional non-attainable fields upon request.
Conclusions:
- ADEPT serves as a reference database for objective EPT reconstruction method comparison and standardization.
- The database offers a substantial dataset for training data-driven EPT methods.
- ADEPT promotes the advancement and clinical integration of MR-based EPT.
