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基于快速稀疏重建的单激光脉冲超分辨率光声断层成像

Single laser-shot super-resolution photoacoustic tomography with fast sparsity-based reconstruction.

作者信息

Egolf David, Barber Quinn, Zemp Roger

机构信息

Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada.

出版信息

Photoacoustics. 2021 Mar 11;22:100258. doi: 10.1016/j.pacs.2021.100258. eCollection 2021 Jun.

DOI:10.1016/j.pacs.2021.100258
PMID:33816111
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8005825/
Abstract

Recently, -norm based reconstruction approaches have been used with linear array systems to improve photoacoustic resolution and demonstrate undersampled imaging when there is sufficient sparsity in some domain. However, such approaches have yet to beat the half-wavelength resolution limit. In this paper, the ability to beat the half-wavelength diffraction limit is demonstrated using a 5 MHz ring array photoacoustic tomography system and -norm based reconstruction approaches. We used the array system to image wire targets at depth in both intralipid scattering solution and water. The minimum observable separation was estimated as , improving on the half-wavelength resolution limit of . This improvement was demonstrated even when using a random projection transform to reduce data by , enabling substantially faster reconstruction times. This is the first photoacoustic tomography approach capable of beating the half-wavelength resolution limit with a single laser shot.

摘要

最近,基于 -范数的重建方法已与线性阵列系统一起使用,以提高光声分辨率,并在某些域中存在足够稀疏性时展示欠采样成像。然而,此类方法尚未突破半波长分辨率极限。在本文中,使用5兆赫环形阵列光声断层扫描系统和基于 -范数的重建方法展示了突破半波长衍射极限的能力。我们使用该阵列系统对脂质内散射溶液和水中深度处的金属丝目标进行成像。估计最小可观测间距为 ,优于 的半波长分辨率极限。即使使用随机投影变换将数据减少 ,也证明了这种改进,从而实现了显著更快的重建时间。这是第一种能够通过单次激光照射突破半波长分辨率极限的光声断层扫描方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cda6/8005825/365a5e062654/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cda6/8005825/3e5f16c2301f/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cda6/8005825/8993271d5e59/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cda6/8005825/23fd379ae887/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cda6/8005825/68284a65a62a/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cda6/8005825/4b5c76c5e065/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cda6/8005825/8d35ccbf34bf/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cda6/8005825/365a5e062654/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cda6/8005825/3e5f16c2301f/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cda6/8005825/8993271d5e59/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cda6/8005825/23fd379ae887/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cda6/8005825/68284a65a62a/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cda6/8005825/4b5c76c5e065/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cda6/8005825/8d35ccbf34bf/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cda6/8005825/365a5e062654/gr7.jpg

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本文引用的文献

1
Breaking the resolution limit in photoacoustic imaging using non-negativity and sparsity.利用非负性和稀疏性突破光声成像中的分辨率极限。
Photoacoustics. 2020 May 21;19:100191. doi: 10.1016/j.pacs.2020.100191. eCollection 2020 Sep.
2
Super-resolution photoacoustic and ultrasound imaging with sparse arrays.基于稀疏阵的超高分辨率光声和超声成像。
Sci Rep. 2020 Mar 13;10(1):4637. doi: 10.1038/s41598-020-61083-2.
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Acoustic Scattering Mediated Single Detector Optoacoustic Tomography.声散射介导的单探测器光声断层成像。
Phys Rev Lett. 2019 Oct 25;123(17):174301. doi: 10.1103/PhysRevLett.123.174301.
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Localization optoacoustic tomography.定位光声断层扫描
Light Sci Appl. 2018 Apr 20;7:18004. doi: 10.1038/lsa.2018.4. eCollection 2018.
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Sparsity-based photoacoustic image reconstruction with a linear array transducer and direct measurement of the forward model.基于稀疏的线阵换能器光声图像重建及正向模型的直接测量。
J Biomed Opt. 2018 Dec;24(3):1-9. doi: 10.1117/1.JBO.24.3.031015.
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Sparsity-based reconstruction for super-resolved limited-view photoacoustic computed tomography deep in a scattering medium.基于稀疏重建的超分辨率有限视角光声计算机断层成像在散射介质中的深度应用。
Opt Lett. 2018 May 15;43(10):2221-2224. doi: 10.1364/OL.43.002221.
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Ultrafast Ultrasound Imaging as an Inverse Problem: Matrix-Free Sparse Image Reconstruction.超快超声成像作为一个反问题:无矩阵稀疏图像重建。
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Label-free cell nuclear imaging by Grüneisen relaxation photoacoustic microscopy.基于格林艾森弛豫光声显微镜的无标记细胞核成像
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Opt Lett. 2017 Nov 1;42(21):4379-4382. doi: 10.1364/OL.42.004379.