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Brain Imaging01:14

Brain Imaging

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Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
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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
PubMed
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.

Keywords:
brain modelsconductivitydatabaseelectrical properties tomographystandardization

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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.