Literature DB >> 26977346

In vivo deconvolution acoustic-resolution photoacoustic microscopy in three dimensions.

De Cai1, Zhongfei Li1, Sung-Liang Chen1.   

Abstract

Acoustic-resolution photoacoustic microscopy (ARPAM) provides a spatial resolution on the order of tens of micrometers, and is becoming an essential tool for imaging fine structures, such as the subcutaneous microvasculature. High lateral resolution of ARPAM is achieved using high numerical aperture (NA) of acoustic transducer; however, the depth of focus and working distance will be deteriorated correspondingly, thus sacrificing the imaging range and accessible depth. The axial resolution of ARPAM is limited by the transducer's bandwidth. In this work, we develop deconvolution ARPAM (D-ARPAM) in three dimensions that can improve the lateral resolution by 1.8 and 3.7 times and the axial resolution by 1.7 and 2.7 times, depending on the adopted criteria, using a 20-MHz focused transducer without physically increasing its NA and bandwidth. The resolution enhancement in three dimensions by D-ARPAM is also demonstrated by in vivo imaging of the microvasculature of a chick embryo. The proposed D-ARPAM has potential for biomedical imaging that simultaneously requires high spatial resolution, extended imaging range, and long accessible depth.

Entities:  

Keywords:  (170.3880) Medical and biological imaging; (170.5120) Photoacoustic imaging; (170.6900) Three-dimensional microscopy

Year:  2016        PMID: 26977346      PMCID: PMC4771455          DOI: 10.1364/BOE.7.000369

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN: 2156-7085            Impact factor:   3.732


  32 in total

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7.  Fast and robust deconvolution-based image reconstruction for photoacoustic tomography in circular geometry: experimental validation.

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8.  Molecular photoacoustic tomography of breast cancer using receptor targeted magnetic iron oxide nanoparticles as contrast agents.

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Review 3.  Photoacoustic imaging aided with deep learning: a review.

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

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Review 5.  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

6.  Label-free photoacoustic and ultrasound imaging for murine atherosclerosis characterization.

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Journal:  APL Bioeng       Date:  2020-04-03
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