Three-Dimensional Holographic Electromagnetic Imaging for Accessing Brain Stroke
The authors recently developed a two-dimensional (2D) holographic electromagnetic induction imaging (HEI) for biomedical imaging applications. However, this method was unable to detect small inclusions accurately. For example, only one of two inclusions can be detected in the reconstructed image if...
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-11-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/18/11/3852 |
| _version_ | 1798003903936069632 |
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| author | Lulu Wang |
| author_facet | Lulu Wang |
| author_sort | Lulu Wang |
| collection | DOAJ |
| description | The authors recently developed a two-dimensional (2D) holographic electromagnetic induction imaging (HEI) for biomedical imaging applications. However, this method was unable to detect small inclusions accurately. For example, only one of two inclusions can be detected in the reconstructed image if the two inclusions were located at the same XY plane but in different Z-directions. This paper provides a theoretical framework of three-dimensional (3D) HEI to accurately and effectively detect inclusions embedded in a biological object. A numerical system, including a realistic head phantom, a 16-element excitation sensor array, a 16-element receiving sensor array, and image processing model has been developed to evaluate the effectiveness of the proposed method for detecting small stroke. The achieved 3D HEI images have been compared with 2D HEI images. Simulation results show that the 3D HEI method can accurately and effectively identify small inclusions even when two inclusions are located at the same XY plane but in different Z-directions. This preliminary study shows that the proposed method has the potential to develop a useful imaging tool for the diagnosis of neurological diseases and injuries in the future. |
| first_indexed | 2024-04-11T12:15:10Z |
| format | Article |
| id | doaj.art-9f774536c9f84ca3b698d7cd7d75b023 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T12:15:10Z |
| publishDate | 2018-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-9f774536c9f84ca3b698d7cd7d75b0232022-12-22T04:24:20ZengMDPI AGSensors1424-82202018-11-011811385210.3390/s18113852s18113852Three-Dimensional Holographic Electromagnetic Imaging for Accessing Brain StrokeLulu Wang0Department of Biomedical Engineering, School of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei 230009, ChinaThe authors recently developed a two-dimensional (2D) holographic electromagnetic induction imaging (HEI) for biomedical imaging applications. However, this method was unable to detect small inclusions accurately. For example, only one of two inclusions can be detected in the reconstructed image if the two inclusions were located at the same XY plane but in different Z-directions. This paper provides a theoretical framework of three-dimensional (3D) HEI to accurately and effectively detect inclusions embedded in a biological object. A numerical system, including a realistic head phantom, a 16-element excitation sensor array, a 16-element receiving sensor array, and image processing model has been developed to evaluate the effectiveness of the proposed method for detecting small stroke. The achieved 3D HEI images have been compared with 2D HEI images. Simulation results show that the 3D HEI method can accurately and effectively identify small inclusions even when two inclusions are located at the same XY plane but in different Z-directions. This preliminary study shows that the proposed method has the potential to develop a useful imaging tool for the diagnosis of neurological diseases and injuries in the future.https://www.mdpi.com/1424-8220/18/11/3852electromagnetic induction imagingmagnetic induction tomographysensor arraybrain strokedielectric properties |
| spellingShingle | Lulu Wang Three-Dimensional Holographic Electromagnetic Imaging for Accessing Brain Stroke Sensors electromagnetic induction imaging magnetic induction tomography sensor array brain stroke dielectric properties |
| title | Three-Dimensional Holographic Electromagnetic Imaging for Accessing Brain Stroke |
| title_full | Three-Dimensional Holographic Electromagnetic Imaging for Accessing Brain Stroke |
| title_fullStr | Three-Dimensional Holographic Electromagnetic Imaging for Accessing Brain Stroke |
| title_full_unstemmed | Three-Dimensional Holographic Electromagnetic Imaging for Accessing Brain Stroke |
| title_short | Three-Dimensional Holographic Electromagnetic Imaging for Accessing Brain Stroke |
| title_sort | three dimensional holographic electromagnetic imaging for accessing brain stroke |
| topic | electromagnetic induction imaging magnetic induction tomography sensor array brain stroke dielectric properties |
| url | https://www.mdpi.com/1424-8220/18/11/3852 |
| work_keys_str_mv | AT luluwang threedimensionalholographicelectromagneticimagingforaccessingbrainstroke |