Three-Dimensional Microwave Head Imaging with GPU-Based FDTD and the DBIM Method
We present a preliminary study of microwave head imaging using a three-dimensional (3-D) implementation of the distorted Born iterative method (DBIM). Our aim is to examine the benefits of using the more computationally intensive 3-D implementation in scenarios where limited prior information is ava...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-03-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/7/2691 |
| _version_ | 1827622438034210816 |
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| author | Pan Lu Panagiotis Kosmas |
| author_facet | Pan Lu Panagiotis Kosmas |
| author_sort | Pan Lu |
| collection | DOAJ |
| description | We present a preliminary study of microwave head imaging using a three-dimensional (3-D) implementation of the distorted Born iterative method (DBIM). Our aim is to examine the benefits of using the more computationally intensive 3-D implementation in scenarios where limited prior information is available, or when the target occupies an area that is not covered by the imaging array’s transverse planes. We show that, in some cases, the 3-D implementation outperforms its two-dimensional (2-D) counterpart despite the increased number of unknowns for the linear problem at each DBIM iteration. We also discuss how the 3-D algorithm can be implemented efficiently using graphic processing units (GPUs) and validate this implementation with experimental data from a simplified brain phantom. In this work, we have implemented a non-linear microwave imaging approach using DBIM with GPU-accelerated FDTD. Moreover, the paper offers a direct comparison of 2-D and 3-D microwave tomography implementations for head imaging and stroke detection in inhomogenous anatomically complex numerical head phantoms. |
| first_indexed | 2024-03-09T11:25:28Z |
| format | Article |
| id | doaj.art-922c35923cb147dc900ff68f2b4a267b |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T11:25:28Z |
| publishDate | 2022-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-922c35923cb147dc900ff68f2b4a267b2023-12-01T00:03:37ZengMDPI AGSensors1424-82202022-03-01227269110.3390/s22072691Three-Dimensional Microwave Head Imaging with GPU-Based FDTD and the DBIM MethodPan Lu0Panagiotis Kosmas1Faculty of Natural and Mathematical Sciences, King’s College London, Strand, London WC2R 2LS, UKFaculty of Natural and Mathematical Sciences, King’s College London, Strand, London WC2R 2LS, UKWe present a preliminary study of microwave head imaging using a three-dimensional (3-D) implementation of the distorted Born iterative method (DBIM). Our aim is to examine the benefits of using the more computationally intensive 3-D implementation in scenarios where limited prior information is available, or when the target occupies an area that is not covered by the imaging array’s transverse planes. We show that, in some cases, the 3-D implementation outperforms its two-dimensional (2-D) counterpart despite the increased number of unknowns for the linear problem at each DBIM iteration. We also discuss how the 3-D algorithm can be implemented efficiently using graphic processing units (GPUs) and validate this implementation with experimental data from a simplified brain phantom. In this work, we have implemented a non-linear microwave imaging approach using DBIM with GPU-accelerated FDTD. Moreover, the paper offers a direct comparison of 2-D and 3-D microwave tomography implementations for head imaging and stroke detection in inhomogenous anatomically complex numerical head phantoms.https://www.mdpi.com/1424-8220/22/7/2691distorted Born iterative method (DBIM)microwave imagingfinite-difference time-domain (FDTD)graphic processing unit (GPU)inverse scattering |
| spellingShingle | Pan Lu Panagiotis Kosmas Three-Dimensional Microwave Head Imaging with GPU-Based FDTD and the DBIM Method Sensors distorted Born iterative method (DBIM) microwave imaging finite-difference time-domain (FDTD) graphic processing unit (GPU) inverse scattering |
| title | Three-Dimensional Microwave Head Imaging with GPU-Based FDTD and the DBIM Method |
| title_full | Three-Dimensional Microwave Head Imaging with GPU-Based FDTD and the DBIM Method |
| title_fullStr | Three-Dimensional Microwave Head Imaging with GPU-Based FDTD and the DBIM Method |
| title_full_unstemmed | Three-Dimensional Microwave Head Imaging with GPU-Based FDTD and the DBIM Method |
| title_short | Three-Dimensional Microwave Head Imaging with GPU-Based FDTD and the DBIM Method |
| title_sort | three dimensional microwave head imaging with gpu based fdtd and the dbim method |
| topic | distorted Born iterative method (DBIM) microwave imaging finite-difference time-domain (FDTD) graphic processing unit (GPU) inverse scattering |
| url | https://www.mdpi.com/1424-8220/22/7/2691 |
| work_keys_str_mv | AT panlu threedimensionalmicrowaveheadimagingwithgpubasedfdtdandthedbimmethod AT panagiotiskosmas threedimensionalmicrowaveheadimagingwithgpubasedfdtdandthedbimmethod |