Literature DB >> 28158024

Photoacoustic microscopy in vivo using synthetic-aperture focusing technique combined with three-dimensional deconvolution.

Zhongfei Li, Yao Li, Zhendong Guo, Sung-Liang Chen.   

Abstract

Acoustic-resolution photoacoustic microscopy (ARPAM) plays an important role in studying the microcirculation system of biological tissues with deep penetration. High lateral resolution of ARPAM is achieved by using a high numerical aperture acoustic transducer. The deteriorated lateral resolution in the out-of-focus region can be alleviated by synthetic aperture focusing technique (SAFT). Previously, we reported a three-dimensional (3D) deconvolution ARPAM to improve both lateral and axial resolutions in the focus region. In this study, we present our extension of resolution enhancement to the out-of-focus region based on two-dimensional SAFT combined with the 3D deconvolution (SAFT+Deconv). In both the focus and out-of-focus regions, depth-independent lateral resolution provided by SAFT, together with inherently depth-independent axial resolution, ensures a depth-independent point spread function for 3D deconvolution algorithm. Imaging of 10 μm polymer beads shows that SAFT+Deconv ARPAM improves the -6 dB lateral resolutions from 65-700 μm to 20-29 μm, and the -6 dB axial resolutions from 35-42 μm to 12-19 μm in an extended depth of focus (DOF) of ∼2 mm. The signal-to-noise ratio is also increased by 6-30 dB. The resolution enhancement in three dimensions is validated by in vivo imaging of a mouse's dorsal subcutaneous microvasculature. Our results suggest that SAFT+Deconv ARPAM may allow fine spatial resolution with deep penetration and extended DOF for biomedical photoacoustic applications.

Entities:  

Year:  2017        PMID: 28158024     DOI: 10.1364/OE.25.001421

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  10 in total

1.  Image enhancement in acoustic-resolution photoacoustic microscopy enabled by a novel directional algorithm.

Authors:  Fei Feng; Siqi Liang; Sung-Liang Chen
Journal:  Biomed Opt Express       Date:  2022-01-28       Impact factor: 3.732

2.  Depth-extended acoustic-resolution photoacoustic microscopy based on a two-stage deep learning network.

Authors:  Jing Meng; Xueting Zhang; Liangjian Liu; Silue Zeng; Chihua Fang; Chengbo Liu
Journal:  Biomed Opt Express       Date:  2022-07-27       Impact factor: 3.562

3.  Image reconstruction for endoscopic photoacoustic tomography including effects of detector responses.

Authors:  Zheng Sun; Huifeng Sun
Journal:  Exp Biol Med (Maywood)       Date:  2022-03-01

4.  High-fidelity deconvolution for acoustic-resolution photoacoustic microscopy enabled by convolutional neural networks.

Authors:  Fei Feng; Siqi Liang; Jiajia Luo; Sung-Liang Chen
Journal:  Photoacoustics       Date:  2022-04-26

5.  Back-projection algorithm in generalized form for circular-scanning-based photoacoustic tomography with improved tangential resolution.

Authors:  Bo Wang; Tianning Su; Weiran Pang; Ningning Wei; Jiaying Xiao; Kuan Peng
Journal:  Quant Imaging Med Surg       Date:  2019-03

6.  3D acoustic resolution-based photoacoustic endoscopy with dynamic focusing.

Authors:  Bo Wang; Congcong Wang; Fangyi Zhong; Weiran Pang; Lili Guo; Kuan Peng; Jiaying Xiao
Journal:  Quant Imaging Med Surg       Date:  2021-02

Review 7.  Achieving depth-independent lateral resolution in AR-PAM using the synthetic-aperture focusing technique.

Authors:  Rongkang Gao; Qiang Xue; Yaguang Ren; Hai Zhang; Liang Song; Chengbo Liu
Journal:  Photoacoustics       Date:  2021-12-24

8.  Photoacoustic/Ultrasound Endoscopic Imaging Reconstruction Algorithm Based on the Approximate Gaussian Acoustic Field.

Authors:  Yongjun Wang; Chuqi Yuan; Jinsheng Jiang; Kuan Peng; Bo Wang
Journal:  Biosensors (Basel)       Date:  2022-06-27

9.  Enhancing optoacoustic mesoscopy through calibration-based iterative reconstruction.

Authors:  Urs A T Hofmann; Weiye Li; Xosé Luís Deán-Ben; Pavel Subochev; Héctor Estrada; Daniel Razansky
Journal:  Photoacoustics       Date:  2022-09-23

10.  Super-resolution localization photoacoustic microscopy using intrinsic red blood cells as contrast absorbers.

Authors:  Jongbeom Kim; Jin Young Kim; Seungwan Jeon; Jin Woo Baik; Seong Hee Cho; Chulhong Kim
Journal:  Light Sci Appl       Date:  2019-11-20       Impact factor: 17.782

  10 in total

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