An efficient image formation algorithm for real-time linear-array photoacoustic tomography
In photoacoustic (PA) imaging using commercial ultrasound transducers, two dimensional PA images are pro-duced by commonly used delay-and-sum (DAS) as the reconstruction method. However, the reconstructed image is a ected by noise and artifacts. Here, we investigate the performance of a nonlinear (N...
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sg-ntu-dr.10356-1026492023-12-29T06:44:17Z An efficient image formation algorithm for real-time linear-array photoacoustic tomography Mozaffarzadeh, Moein Periyasamy, Vijitha Upputuri, Paul Kumar Pramanik, Manojit Makkiabadi, Bahador School of Chemical and Biomedical Engineering Proceedings of SPIE - Photons Plus Ultrasound: Imaging and Sensing 2019 Photoacoustic Tomography Photoacoustic Imaging Engineering::Chemical engineering In photoacoustic (PA) imaging using commercial ultrasound transducers, two dimensional PA images are pro-duced by commonly used delay-and-sum (DAS) as the reconstruction method. However, the reconstructed image is a ected by noise and artifacts. Here, we investigate the performance of a nonlinear (NL) beamforming method for linear-array PA image formation. The proposed algorithm uses the pth root of the recorded signals and imposes a computational complexity in the order of DAS (O(M)). We have evaluated the performance of the proposed method numerically, having a signal-to-noise ratio of 30 dB and -10 dB. It is shown that at the depth of 15 mm, the NL 3 (NL beamformer with a p=3) outperforms DAS, DMAS and NL 2 for about 26 dB, 11 dB and 11 dB, in terms of level of sidelobe, respectively. In addition, DAS, DMAS, NL 2 and NL 3 lead to a full-width-half-maximum of about 1.4 mm, 1.04 mm, 1.04 mm and 0.86 mm, respectively. The proposed method can be a great choice for sentinel lymph node imaging. Published version 2019-08-14T03:04:02Z 2019-12-06T20:58:17Z 2019-08-14T03:04:02Z 2019-12-06T20:58:17Z 2019-03-01 2019 Conference Paper Mozaffarzadeh, M., Periyasamy, V., Upputuri, P. K., Pramanik, M., & Makkiabadi, B. (2019). An efficient image formation algorithm for real-time linear-array photoacoustic tomography. Proceedings of SPIE - Photons Plus Ultrasound: Imaging and Sensing 2019. https://hdl.handle.net/10356/102649 http://hdl.handle.net/10220/49619 10.1117/12.2511088 209755 en © 2019 Society of Photo-optical Instrumentation Engineers (SPIE). All rights reserved. This paper was published in Proceedings of SPIE - Photons Plus Ultrasound: Imaging and Sensing 2019 and is made available with permission of Society of Photo-optical Instrumentation Engineers (SPIE). 7 p. application/pdf |
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Photoacoustic Tomography Photoacoustic Imaging Engineering::Chemical engineering Mozaffarzadeh, Moein Periyasamy, Vijitha Upputuri, Paul Kumar Pramanik, Manojit Makkiabadi, Bahador An efficient image formation algorithm for real-time linear-array photoacoustic tomography |
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In photoacoustic (PA) imaging using commercial ultrasound transducers, two dimensional PA images are pro-duced by commonly used delay-and-sum (DAS) as the reconstruction method. However, the reconstructed image is a ected by noise and artifacts. Here, we investigate the performance of a nonlinear (NL) beamforming method for linear-array PA image formation. The proposed algorithm uses the pth root of the recorded signals and imposes a computational complexity in the order of DAS (O(M)). We have evaluated the performance of the
proposed method numerically, having a signal-to-noise ratio of 30 dB and -10 dB. It is shown that at the depth of 15 mm, the NL 3 (NL beamformer with a p=3) outperforms DAS, DMAS and NL 2 for about 26 dB, 11 dB and 11 dB, in terms of level of sidelobe, respectively. In addition, DAS, DMAS, NL 2 and NL 3 lead to a
full-width-half-maximum of about 1.4 mm, 1.04 mm, 1.04 mm and 0.86 mm, respectively. The proposed method can be a great choice for sentinel lymph node imaging. |
author2 |
School of Chemical and Biomedical Engineering |
author_facet |
School of Chemical and Biomedical Engineering Mozaffarzadeh, Moein Periyasamy, Vijitha Upputuri, Paul Kumar Pramanik, Manojit Makkiabadi, Bahador |
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Conference or Workshop Item |
author |
Mozaffarzadeh, Moein Periyasamy, Vijitha Upputuri, Paul Kumar Pramanik, Manojit Makkiabadi, Bahador |
author_sort |
Mozaffarzadeh, Moein |
title |
An efficient image formation algorithm for real-time linear-array photoacoustic tomography |
title_short |
An efficient image formation algorithm for real-time linear-array photoacoustic tomography |
title_full |
An efficient image formation algorithm for real-time linear-array photoacoustic tomography |
title_fullStr |
An efficient image formation algorithm for real-time linear-array photoacoustic tomography |
title_full_unstemmed |
An efficient image formation algorithm for real-time linear-array photoacoustic tomography |
title_sort |
efficient image formation algorithm for real-time linear-array photoacoustic tomography |
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2019 |
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https://hdl.handle.net/10356/102649 http://hdl.handle.net/10220/49619 |
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