A Low-Complexity Compressive Sensing Algorithm for Point Target Detection Using Ultrafast Plane Wave Imaging
Ultrasound plane wave imaging is an ultrafast technique to obtain the reconstructed images in real-time. However, identifying the point targets (such as microcalcifications) is challenging in this imaging technique due to the presence of strong acoustic clutter. In this paper, a compressive sensing...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10379592/ |
| _version_ | 1797361499546583040 |
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| author | Roya Paridar Babak Mohammadzadeh Asl |
| author_facet | Roya Paridar Babak Mohammadzadeh Asl |
| author_sort | Roya Paridar |
| collection | DOAJ |
| description | Ultrasound plane wave imaging is an ultrafast technique to obtain the reconstructed images in real-time. However, identifying the point targets (such as microcalcifications) is challenging in this imaging technique due to the presence of strong acoustic clutter. In this paper, a compressive sensing (CS)-based algorithm, named modified-CS (M-CS), is proposed which can be used to accurately identify the point targets. In the proposed algorithm, the processing matrix is divided into some non-overlapping sub-matrices, and each part is processed separately. Then, the output passes through the thresholding and localization processes to obtain the locations of the point targets. Compared to the conventional CS algorithm, identifying the point targets in deeper regions of the imaging medium is provided using the M-CS algorithm. Also, due to the usage of smaller sub-matrices, the proposed M-CS algorithm speeds up, and also, needs less memory compared to the conventional CS algorithm. The simulation results confirm the good performance of the proposed algorithm. |
| first_indexed | 2024-03-08T15:54:34Z |
| format | Article |
| id | doaj.art-4fa93b93a76d40c990709243ba45d8d1 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-08T15:54:34Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-4fa93b93a76d40c990709243ba45d8d12024-01-09T00:04:11ZengIEEEIEEE Access2169-35362024-01-01122977298810.1109/ACCESS.2023.334934810379592A Low-Complexity Compressive Sensing Algorithm for Point Target Detection Using Ultrafast Plane Wave ImagingRoya Paridar0https://orcid.org/0000-0003-0234-8900Babak Mohammadzadeh Asl1https://orcid.org/0000-0001-5084-6408Department of Biomedical Engineering, Tarbiat Modares University, Tehran, IranDepartment of Biomedical Engineering, Tarbiat Modares University, Tehran, IranUltrasound plane wave imaging is an ultrafast technique to obtain the reconstructed images in real-time. However, identifying the point targets (such as microcalcifications) is challenging in this imaging technique due to the presence of strong acoustic clutter. In this paper, a compressive sensing (CS)-based algorithm, named modified-CS (M-CS), is proposed which can be used to accurately identify the point targets. In the proposed algorithm, the processing matrix is divided into some non-overlapping sub-matrices, and each part is processed separately. Then, the output passes through the thresholding and localization processes to obtain the locations of the point targets. Compared to the conventional CS algorithm, identifying the point targets in deeper regions of the imaging medium is provided using the M-CS algorithm. Also, due to the usage of smaller sub-matrices, the proposed M-CS algorithm speeds up, and also, needs less memory compared to the conventional CS algorithm. The simulation results confirm the good performance of the proposed algorithm.https://ieeexplore.ieee.org/document/10379592/Ultrasoundultrafast imagingsparsitypoint detection |
| spellingShingle | Roya Paridar Babak Mohammadzadeh Asl A Low-Complexity Compressive Sensing Algorithm for Point Target Detection Using Ultrafast Plane Wave Imaging IEEE Access Ultrasound ultrafast imaging sparsity point detection |
| title | A Low-Complexity Compressive Sensing Algorithm for Point Target Detection Using Ultrafast Plane Wave Imaging |
| title_full | A Low-Complexity Compressive Sensing Algorithm for Point Target Detection Using Ultrafast Plane Wave Imaging |
| title_fullStr | A Low-Complexity Compressive Sensing Algorithm for Point Target Detection Using Ultrafast Plane Wave Imaging |
| title_full_unstemmed | A Low-Complexity Compressive Sensing Algorithm for Point Target Detection Using Ultrafast Plane Wave Imaging |
| title_short | A Low-Complexity Compressive Sensing Algorithm for Point Target Detection Using Ultrafast Plane Wave Imaging |
| title_sort | low complexity compressive sensing algorithm for point target detection using ultrafast plane wave imaging |
| topic | Ultrasound ultrafast imaging sparsity point detection |
| url | https://ieeexplore.ieee.org/document/10379592/ |
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