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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Main Authors: Mozaffarzadeh, Moein, Periyasamy, Vijitha, Upputuri, Paul Kumar, Pramanik, Manojit, Makkiabadi, Bahador
Other Authors: School of Chemical and Biomedical Engineering
Format: Conference or Workshop Item
Language:English
Published: 2019
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Online Access:https://hdl.handle.net/10356/102649
http://hdl.handle.net/10220/49619
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Institution: Nanyang Technological University
Language: English
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spelling 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
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Photoacoustic Tomography
Photoacoustic Imaging
Engineering::Chemical engineering
spellingShingle 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
description 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
format 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
publishDate 2019
url https://hdl.handle.net/10356/102649
http://hdl.handle.net/10220/49619
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