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Three-Dimensional Microwave Head Imaging with GPU-Based FDTD and the DBIM Method.

Pan Lu1, Panagiotis Kosmas1

  • 1Faculty of Natural and Mathematical Sciences, King's College London, Strand, London WC2R 2LS, UK.

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|April 12, 2022
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Summary
This summary is machine-generated.

This study explores 3D microwave head imaging using the distorted Born iterative method (DBIM), demonstrating its potential advantages over 2D methods for complex targets and limited data, especially for stroke detection.

Keywords:
distorted Born iterative method (DBIM)finite-difference time-domain (FDTD)graphic processing unit (GPU)inverse scatteringmicrowave imaging

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Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Electromagnetics

Background:

  • Microwave imaging offers a non-invasive approach for medical diagnostics.
  • Accurate head imaging is crucial for conditions like stroke.
  • Computational limitations have historically favored 2D over 3D implementations.

Purpose of the Study:

  • To evaluate the benefits of a 3D distorted Born iterative method (DBIM) for microwave head imaging.
  • To compare the performance of 3D DBIM against its 2D counterpart.
  • To explore GPU acceleration for efficient 3D microwave tomography.

Main Methods:

  • Implemented a 3D distorted Born iterative method (DBIM).
  • Utilized GPU-accelerated Finite-Difference Time-Domain (FDTD) for computations.
  • Compared 2D and 3D DBIM performance using numerical head phantoms and experimental data from a simplified brain phantom.

Main Results:

  • The 3D DBIM implementation showed superior performance in specific scenarios compared to the 2D version.
  • GPU acceleration significantly improved the efficiency of the 3D algorithm.
  • The study validated the 3D approach with experimental data.

Conclusions:

  • 3D microwave head imaging using DBIM is a viable and potentially advantageous technique.
  • The 3D approach offers benefits in cases with limited prior information or complex target geometries.
  • Efficient implementation using GPUs makes advanced 3D microwave tomography practical for applications like stroke detection.