Regularized Capon Beamformer Using ℓ1-Norm Applied to Photoacoustic Imaging

Roya Paridar; Moein Mozaffarzadeh; Maryam Basij; Mohammad Mehrmohammadi; Mahdi Orooji

doi:10.1109/ULTSYM.2018.8579612

Regularized Capon Beamformer Using ℓ1-Norm Applied to Photoacoustic Imaging

Roya Paridar, Moein Mozaffarzadeh, Maryam Basij, Mohammad Mehrmohammadi, Mahdi Orooji^*

^*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Abstract

Delay-and-Sum (DAS), as a non-adaptive beamforming method, is one of the most common algorithms used in Photoacoustic imaging due to its simple implementation. The results obtained from this algorithm suffer from low resolution and high sidelobes. The adaptive Minimum variance (MV) method improves the image quality compared to DAS in terms of resolution and contrast. In this paper, it is proposed to add a ℓ1-norm regularization term to the conventional MV minimization problem and create a new sparse beamforming method, named Modified-Sparse-Mv (ms-Mv)algorithm. In fact, the sparsity of the output is forced to the beampattern by adding this new sparse added term, which results in more noise reduction and sidelobe suppression compared to MV. The minimization problem is convex, and therefore, it can be solved using an iterative algorithm. The results show that the proposed MS-MV method improves the signal-to-noise-ratio for about 5.36 dB and 6.44 dB compared to DAS and MV, respectively, for the designed wire phantom.

Original language	English
Title of host publication	2018 IEEE International Ultrasonics Symposium, IUS 2018
Editors	Ken-ya Hashimoto , Clemens Ruppel
Publisher	IEEE
Volume	2018-October
ISBN (Electronic)	978-153863425-7
DOIs	https://doi.org/10.1109/ULTSYM.2018.8579612
Publication status	Published - 2018
Event	2018 IEEE International Ultrasonics Symposium, IUS 2018 - Portopia Hotel, Kobe, Japan Duration: 22 Oct 2018 → 25 Oct 2018

Conference

Conference	2018 IEEE International Ultrasonics Symposium, IUS 2018
Abbreviated title	IUS 2018
Country/Territory	Japan
City	Kobe
Period	22/10/18 → 25/10/18

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

-norm regularization
beamforming
minimum variance
Photoacoustic imaging

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10.1109/ULTSYM.2018.8579612

08579612taverneFinal published version, 396 KB

Cite this

@inproceedings{01ade0b6e84a422bb0ebd8b48673d4b8,

title = "Regularized Capon Beamformer Using ℓ1-Norm Applied to Photoacoustic Imaging",

abstract = "Delay-and-Sum (DAS), as a non-adaptive beamforming method, is one of the most common algorithms used in Photoacoustic imaging due to its simple implementation. The results obtained from this algorithm suffer from low resolution and high sidelobes. The adaptive Minimum variance (MV) method improves the image quality compared to DAS in terms of resolution and contrast. In this paper, it is proposed to add a ℓ1-norm regularization term to the conventional MV minimization problem and create a new sparse beamforming method, named Modified-Sparse-Mv (ms-Mv)algorithm. In fact, the sparsity of the output is forced to the beampattern by adding this new sparse added term, which results in more noise reduction and sidelobe suppression compared to MV. The minimization problem is convex, and therefore, it can be solved using an iterative algorithm. The results show that the proposed MS-MV method improves the signal-to-noise-ratio for about 5.36 dB and 6.44 dB compared to DAS and MV, respectively, for the designed wire phantom.",

keywords = "-norm regularization, beamforming, minimum variance, Photoacoustic imaging",

author = "Roya Paridar and Moein Mozaffarzadeh and Maryam Basij and Mohammad Mehrmohammadi and Mahdi Orooji",

note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. ; 2018 IEEE International Ultrasonics Symposium, IUS 2018, IUS 2018 ; Conference date: 22-10-2018 Through 25-10-2018",

year = "2018",

doi = "10.1109/ULTSYM.2018.8579612",

language = "English",

volume = "2018-October",

editor = "{Hashimoto }, {Ken-ya } and Ruppel, {Clemens }",

booktitle = "2018 IEEE International Ultrasonics Symposium, IUS 2018",

publisher = "IEEE",

address = "United States",

}

Paridar, R, Mozaffarzadeh, M, Basij, M, Mehrmohammadi, M & Orooji, M 2018, Regularized Capon Beamformer Using ℓ1-Norm Applied to Photoacoustic Imaging. in K Hashimoto & C Ruppel (eds), 2018 IEEE International Ultrasonics Symposium, IUS 2018. vol. 2018-October, 8579612, IEEE, 2018 IEEE International Ultrasonics Symposium, IUS 2018, Kobe, Japan, 22/10/18. https://doi.org/10.1109/ULTSYM.2018.8579612

Regularized Capon Beamformer Using ℓ1-Norm Applied to Photoacoustic Imaging. / Paridar, Roya; Mozaffarzadeh, Moein; Basij, Maryam et al.
2018 IEEE International Ultrasonics Symposium, IUS 2018. ed. / Ken-ya Hashimoto ; Clemens Ruppel. Vol. 2018-October IEEE, 2018. 8579612.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Regularized Capon Beamformer Using ℓ1-Norm Applied to Photoacoustic Imaging

AU - Paridar, Roya

AU - Mozaffarzadeh, Moein

AU - Basij, Maryam

AU - Mehrmohammadi, Mohammad

AU - Orooji, Mahdi

N1 - Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2018

Y1 - 2018

N2 - Delay-and-Sum (DAS), as a non-adaptive beamforming method, is one of the most common algorithms used in Photoacoustic imaging due to its simple implementation. The results obtained from this algorithm suffer from low resolution and high sidelobes. The adaptive Minimum variance (MV) method improves the image quality compared to DAS in terms of resolution and contrast. In this paper, it is proposed to add a ℓ1-norm regularization term to the conventional MV minimization problem and create a new sparse beamforming method, named Modified-Sparse-Mv (ms-Mv)algorithm. In fact, the sparsity of the output is forced to the beampattern by adding this new sparse added term, which results in more noise reduction and sidelobe suppression compared to MV. The minimization problem is convex, and therefore, it can be solved using an iterative algorithm. The results show that the proposed MS-MV method improves the signal-to-noise-ratio for about 5.36 dB and 6.44 dB compared to DAS and MV, respectively, for the designed wire phantom.

AB - Delay-and-Sum (DAS), as a non-adaptive beamforming method, is one of the most common algorithms used in Photoacoustic imaging due to its simple implementation. The results obtained from this algorithm suffer from low resolution and high sidelobes. The adaptive Minimum variance (MV) method improves the image quality compared to DAS in terms of resolution and contrast. In this paper, it is proposed to add a ℓ1-norm regularization term to the conventional MV minimization problem and create a new sparse beamforming method, named Modified-Sparse-Mv (ms-Mv)algorithm. In fact, the sparsity of the output is forced to the beampattern by adding this new sparse added term, which results in more noise reduction and sidelobe suppression compared to MV. The minimization problem is convex, and therefore, it can be solved using an iterative algorithm. The results show that the proposed MS-MV method improves the signal-to-noise-ratio for about 5.36 dB and 6.44 dB compared to DAS and MV, respectively, for the designed wire phantom.

KW - -norm regularization

KW - beamforming

KW - minimum variance

KW - Photoacoustic imaging

UR - http://www.scopus.com/inward/record.url?scp=85060599877&partnerID=8YFLogxK

U2 - 10.1109/ULTSYM.2018.8579612

DO - 10.1109/ULTSYM.2018.8579612

M3 - Conference contribution

AN - SCOPUS:85060599877

VL - 2018-October

BT - 2018 IEEE International Ultrasonics Symposium, IUS 2018

A2 - Hashimoto , Ken-ya

A2 - Ruppel, Clemens

PB - IEEE

T2 - 2018 IEEE International Ultrasonics Symposium, IUS 2018

Y2 - 22 October 2018 through 25 October 2018

ER -

Regularized Capon Beamformer Using ℓ1-Norm Applied to Photoacoustic Imaging

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Keywords

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