Locating and Imaging through Scattering Medium in a Large Depth

Zhu, Shuo; Guo, Enlai; Cui, Qianying; Bai, Lianfa; Han, Jing; Zheng, Dongliang

doi:10.3390/s21010090

Cited by 15 publications

(4 citation statements)

References 34 publications

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“…The depth resolution of the proposed method was 1 cm. Since a simple U-net algorithm was used in our experiments, it may be possible to overcome this limitation by using a more complicated algorithm 15) to improve the depth resolution.…”

Section: Discussionmentioning

confidence: 99%

“…Extended depth of field (DOF) can be achieved by acquiring speckle images in multiple depths for the static case. 15,16) When it comes to the tracking of continuously moving objects through a scattering medium over longer depth, the object cannot be reconstructed at some positions, or the reconstruction accuracy is not stable over a wide range. Therefore, the number of trained depths and the interval between trained depths are important factors to realize the dynamic tracking of targets in the deep learning method.…”

Section: Introductionmentioning

confidence: 99%

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Tracking moving targets with wide depth of field behind a scattering medium using deep learning

Tsukada

Watanabe

2022

Jpn. J. Appl. Phys.

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When light propagates through a scattering medium, imaging of an object hidden behind the scattering medium is difficult due to wavefront distortion. Scattering imaging is a technique for reconstructing images by solving the problem of complex reconstruction from speckle images. Tracking moving targets behind a scattering medium is a challenge. Scattering imaging using deep learning is a robust technique that learns a huge number of pairs of ground-truth images and speckle images. Here, we demonstrate tracking of moving targets with an extended-depth of field (DOF) behind a scattering medium based on deep learning of speckle images acquired at different depths. We found that it was possible to track moving targets over a wide axial direction by increasing the number of trained positions.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Tracking moving targets with wide depth of field behind a scattering medium using deep learning

Tsukada

Watanabe

2022

Jpn. J. Appl. Phys.

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“…It should be mentioned that there are approaches where object information may be extracted from multiple scattered photons. [14][15][16] However, these techniques require precise knowledge of the scattering medium and are extremely impractical for extended bodies of scattering media (several meters and beyond). To increase the imaging range through scattering media without increasing the illumination power (thus maintaining eye-safety), technologies providing a higher SNR need to be incorporated.…”

Section: Introductionmentioning

confidence: 99%

Coherence-gated digital holographic imaging through extended scattering media for autonomous driving vehicles

Gröger¹,

Pedrini²,

Claus³

et al. 2023

Optical Measurement Systems for Industrial Inspection XIII

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Digital holography benefits from interferometric amplification, which enhances sensitivity. Coherence-gated digital holography allows for the suppression of noise sources such as multiple scattered photons and other light sources. In addition, digital holography provides access to optical phase information, which is an important metrological parameter for three-dimensional measurements. The aim of this study is to investigate the potential of digital holography as a new sensor concept for the environmental perception of autonomous vehicles under difficult visibility conditions. Our experiments are conducted using a 27-meter-long fog tube and serve in particular to characterize the capacity to effectively filter multiple scattered photons based on their coherence property. From the comparison between holography and time-of-flight (ToF) imaging, it follows that although the ballistic photon filtering works significantly better in ToF, the increase in sensitivity due to the interferometric amplification effect results in holography outperforming ToF. In addition, we combine these results with previous experiments and show the importance of the advantages of digital holography for environmental perception through scattering media.

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“…Locating specific objects inside a thick highly scattering medium remains a long-standing challenge in the field of materials science, medicine, and engineering. , For industrial applications, this capability can help to identify specific objects for customs identification, drug analysis, and so on. In medicine, it is particularly useful for locating lesions, such as tumors or lymph nodes, after specific targeting with contrast agents.…”

Section: Introductionmentioning

confidence: 99%

Locating Three-Dimensional Position of Deep-Seated SERS Phantom Lesions in Thick Tissues Using Tomographic Transmission Raman Spectroscopy

Xie,

Zhang,

et al. 2023

ACS Appl. Mater. Interfaces

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Locating distinct objects within a thick scattering medium remains a long-standing challenge in the fields of materials science, health, and engineering. Transmission Raman spectroscopy (TRS) with the use of surface-enhanced Raman scattering (SERS) nanoparticles has proven to be an effective approach to detect deep-seated lesions inside thick biological tissues. However, it has not yet been proven to spatially locate deep lesions in three dimensions using optical modalities. Herein, we present the concept of tomographic TRS and report its successful use for accurately locating SERS nanoparticles in elongated rod-like thick tissues. Our work starts with theoretical simulations of Raman photon propagation in tissues. We discovered a linear relationship between the Raman spectral peak ratio and propagation distance of Raman photons in tissues, allowing us to predict the location of lesions tagged by SERS NPs. Based on this, we propose a two-step tomographic TRS strategy, which includes axial scanning and ring scanning. We demonstrate the robustness of our approach using ex vivo thick tissue (4.5 cm in thickness) and locate an embedded SERS phantom lesion, with a ring scanning step of 10–30°. We successfully locate multiple SERS phantom lesions in the ex vivo porcine muscle stack with high accuracy (absolute error of <2 mm). Our method is rapid, efficient, and of low cost compared to current tomographic medical imaging techniques. This work advances Raman techniques for three-dimensional positioning and offers new insights toward practical diagnosis applications.

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Locating and Imaging through Scattering Medium in a Large Depth

Cited by 15 publications

References 34 publications

Tracking moving targets with wide depth of field behind a scattering medium using deep learning

Tracking moving targets with wide depth of field behind a scattering medium using deep learning

Coherence-gated digital holographic imaging through extended scattering media for autonomous driving vehicles

Locating Three-Dimensional Position of Deep-Seated SERS Phantom Lesions in Thick Tissues Using Tomographic Transmission Raman Spectroscopy

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