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Noise insensitive volumetric fusion method for enhanced photoacoustic microscopy

SIGNIFICANCE: Photoacoustic imaging is an emerging imaging modality that combines the high contrast of optical imaging and the high penetration of acoustic imaging. However, the strong focusing of the laser beam in optical-resolution photoacoustic microscopy (OR-PAM) leads to a limited depth-of-fiel...

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Autores principales: Li, Sihang, Wu, Hao, Zhang, Hongyu, Zhang, Zhipeng, Liu, Qiugen, Song, Xianlin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10547913/
https://www.ncbi.nlm.nih.gov/pubmed/37799936
http://dx.doi.org/10.1117/1.JBO.28.10.106501
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author Li, Sihang
Wu, Hao
Zhang, Hongyu
Zhang, Zhipeng
Liu, Qiugen
Song, Xianlin
author_facet Li, Sihang
Wu, Hao
Zhang, Hongyu
Zhang, Zhipeng
Liu, Qiugen
Song, Xianlin
author_sort Li, Sihang
collection PubMed
description SIGNIFICANCE: Photoacoustic imaging is an emerging imaging modality that combines the high contrast of optical imaging and the high penetration of acoustic imaging. However, the strong focusing of the laser beam in optical-resolution photoacoustic microscopy (OR-PAM) leads to a limited depth-of-field (DoF). AIM: Here, a volumetric photoacoustic information fusion method was proposed to achieve large volumetric photoacoustic imaging at low cost. APPROACH: First, the initial decision map was built through the focus detection based on the proposed three-dimensional Laplacian operator. Majority filter-based consistency verification and Gaussian filter-based map smoothing were then utilized to generate the final decision map for the construction of photoacoustic imaging with extended DoF. RESULTS: The performance of the proposed method was tested to show that our method can expand the limited DoF by a factor of 1.7 without the sacrifice of lateral resolution. Four sets of multi-focus vessel data at different noise levels were fused to verify the effectiveness and robustness of the proposed method. CONCLUSIONS: The proposed method can efficiently extend the DoF of OR-PAM under different noise levels.
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spelling pubmed-105479132023-10-05 Noise insensitive volumetric fusion method for enhanced photoacoustic microscopy Li, Sihang Wu, Hao Zhang, Hongyu Zhang, Zhipeng Liu, Qiugen Song, Xianlin J Biomed Opt Microscopy SIGNIFICANCE: Photoacoustic imaging is an emerging imaging modality that combines the high contrast of optical imaging and the high penetration of acoustic imaging. However, the strong focusing of the laser beam in optical-resolution photoacoustic microscopy (OR-PAM) leads to a limited depth-of-field (DoF). AIM: Here, a volumetric photoacoustic information fusion method was proposed to achieve large volumetric photoacoustic imaging at low cost. APPROACH: First, the initial decision map was built through the focus detection based on the proposed three-dimensional Laplacian operator. Majority filter-based consistency verification and Gaussian filter-based map smoothing were then utilized to generate the final decision map for the construction of photoacoustic imaging with extended DoF. RESULTS: The performance of the proposed method was tested to show that our method can expand the limited DoF by a factor of 1.7 without the sacrifice of lateral resolution. Four sets of multi-focus vessel data at different noise levels were fused to verify the effectiveness and robustness of the proposed method. CONCLUSIONS: The proposed method can efficiently extend the DoF of OR-PAM under different noise levels. Society of Photo-Optical Instrumentation Engineers 2023-10-04 2023-10 /pmc/articles/PMC10547913/ /pubmed/37799936 http://dx.doi.org/10.1117/1.JBO.28.10.106501 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
spellingShingle Microscopy
Li, Sihang
Wu, Hao
Zhang, Hongyu
Zhang, Zhipeng
Liu, Qiugen
Song, Xianlin
Noise insensitive volumetric fusion method for enhanced photoacoustic microscopy
title Noise insensitive volumetric fusion method for enhanced photoacoustic microscopy
title_full Noise insensitive volumetric fusion method for enhanced photoacoustic microscopy
title_fullStr Noise insensitive volumetric fusion method for enhanced photoacoustic microscopy
title_full_unstemmed Noise insensitive volumetric fusion method for enhanced photoacoustic microscopy
title_short Noise insensitive volumetric fusion method for enhanced photoacoustic microscopy
title_sort noise insensitive volumetric fusion method for enhanced photoacoustic microscopy
topic Microscopy
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10547913/
https://www.ncbi.nlm.nih.gov/pubmed/37799936
http://dx.doi.org/10.1117/1.JBO.28.10.106501
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