Image improvement in linear-array photoacoustic imaging using high resolution coherence factor weighting technique.
Linear-array tomography
Photoacoustic imaging
Resolution improvement
Journal
BMC biomedical engineering
ISSN: 2524-4426
Titre abrégé: BMC Biomed Eng
Pays: England
ID NLM: 101756092
Informations de publication
Date de publication:
2019
2019
Historique:
received:
24
09
2018
accepted:
22
03
2019
entrez:
9
9
2020
pubmed:
5
4
2019
medline:
5
4
2019
Statut:
epublish
Résumé
In Photoacoustic imaging (PAI), the most prevalent beamforming algorithm is delay-and-sum (DAS) due to its simple implementation. However, it results in a low quality image affected by the high level of sidelobes. Coherence factor (CF) can be used to address the sidelobes in the reconstructed images by DAS, but the resolution improvement is not good enough, compared to the high resolution beamformers such as minimum variance (MV). In this paper, it is proposed to use high-resolution-CF (HRCF) weighting technique in which MV is used instead of the existing DAS in the formula of the conventional CF. The higher performance of HRCF is proved numerically and experimentally. The quantitative results obtained with the simulations show that at the depth of 40 Proposed method provides a high resolution along with a low level of sidelobes for PAI.
Sections du résumé
BACKGROUND
BACKGROUND
In Photoacoustic imaging (PAI), the most prevalent beamforming algorithm is delay-and-sum (DAS) due to its simple implementation. However, it results in a low quality image affected by the high level of sidelobes. Coherence factor (CF) can be used to address the sidelobes in the reconstructed images by DAS, but the resolution improvement is not good enough, compared to the high resolution beamformers such as minimum variance (MV). In this paper, it is proposed to use high-resolution-CF (HRCF) weighting technique in which MV is used instead of the existing DAS in the formula of the conventional CF.
RESULTS
RESULTS
The higher performance of HRCF is proved numerically and experimentally. The quantitative results obtained with the simulations show that at the depth of 40
CONCLUSION
CONCLUSIONS
Proposed method provides a high resolution along with a low level of sidelobes for PAI.
Identifiants
pubmed: 32903375
doi: 10.1186/s42490-019-0009-9
pii: 9
pmc: PMC7422598
doi:
Types de publication
Journal Article
Langues
eng
Pagination
10Informations de copyright
© The Author(s) 2019.
Déclaration de conflit d'intérêts
Competing interestsThe authors declare that they have no competing interests.
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