Signal restoration algorithm for photoacoustic imaging systems.


Journal

Biomedical optics express
ISSN: 2156-7085
Titre abrégé: Biomed Opt Express
Pays: United States
ID NLM: 101540630

Informations de publication

Date de publication:
01 Feb 2023
Historique:
received: 15 11 2022
revised: 17 12 2022
accepted: 18 12 2022
entrez: 6 3 2023
pubmed: 7 3 2023
medline: 7 3 2023
Statut: epublish

Résumé

In a photoacoustic (PA) imaging system, the detectors are bandwidth-limited. Therefore, they capture PA signals with some unwanted ripples. This limitation degrades the resolution/contrast and induces sidelobes and artifacts in the reconstructed images along the axial direction. To compensate for the limited bandwidth effect, we present a PA signal restoration algorithm, where a mask is designed to extract the signals at the absorber positions and remove the unwanted ripples. This restoration improves the axial resolution and contrast in the reconstructed image. The restored PA signals can be considered as the input of the conventional reconstruction algorithms (e.g., Delay-and-sum (DAS) and Delay-multiply-and-sum (DMAS)). To compare the performance of the proposed method, DAS and DMAS reconstruction algorithms were performed with both the initial and restored PA signals on numerical and experimental studies (numerical targets, tungsten wires, and human forearm). The results show that, compared with the initial PA signals, the restored PA signals can improve the axial resolution and contrast by 45% and 16.1 dB, respectively, and suppress background artifacts by 80%.

Identifiants

pubmed: 36874483
doi: 10.1364/BOE.480842
pii: 480842
pmc: PMC9979682
doi:

Types de publication

Journal Article

Langues

eng

Pagination

651-666

Informations de copyright

© 2023 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

Déclaration de conflit d'intérêts

The authors declare no conflicts of interest.

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Auteurs

Soheil Hakakzadeh (S)

Electrical Engineering Department of Sharif University of Technology, Tehran, Iran.
Equal Contribution.

Mohammadreza Amjadian (M)

Electrical Engineering Department of Sharif University of Technology, Tehran, Iran.
Department of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR, China.
Department of Chemical and Biological Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China.
Equal Contribution.

Yachao Zhang (Y)

Department of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR, China.

Seyed Masood Mostafavi (SM)

Electrical Engineering Department of Sharif University of Technology, Tehran, Iran.

Zahra Kavehvash (Z)

Electrical Engineering Department of Sharif University of Technology, Tehran, Iran.

Lidai Wang (L)

Department of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR, China.

Classifications MeSH