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光声临床成像。

Photoacoustic clinical imaging.

作者信息

Steinberg Idan, Huland David M, Vermesh Ophir, Frostig Hadas E, Tummers Willemieke S, Gambhir Sanjiv S

机构信息

Department of Radiology, At Stanford University, School of Medicine, Stanford, CA, United States.

Department of Bioengineering, At Stanford University, School of Medicine, Stanford, CA, United States.

出版信息

Photoacoustics. 2019 Jun 8;14:77-98. doi: 10.1016/j.pacs.2019.05.001. eCollection 2019 Jun.

DOI:10.1016/j.pacs.2019.05.001
PMID:31293884
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6595011/
Abstract

Photoacoustic is an emerging biomedical imaging modality, which allows imaging optical absorbers in the tissue by acoustic detectors (light in - sound out). Such a technique has an immense potential for clinical translation since it allows high resolution, sufficient imaging depth, with diverse endogenous and exogenous contrast, and is free from ionizing radiation. In recent years, tremendous developments in both the instrumentation and imaging agents have been achieved. These opened avenues for clinical imaging of various sites allowed applications such as brain functional imaging, breast cancer screening, diagnosis of psoriasis and skin lesions, biopsy and surgery guidance, the guidance of tumor therapies at the reproductive and urological systems, as well as imaging tumor metastases at the sentinel lymph nodes. Here we survey the various clinical and pre-clinical literature and discuss the potential applications and hurdles that still need to be overcome.

摘要

光声成像作为一种新兴的生物医学成像模式,它能够通过声学探测器对组织中的光吸收体进行成像(光进声出)。由于该技术具有高分辨率、足够的成像深度、多样的内源性和外源性对比度且无电离辐射,因而在临床转化方面具有巨大潜力。近年来,在仪器设备和成像剂方面均取得了巨大进展。这些进展为各个部位的临床成像开辟了道路,使其能够应用于诸如脑功能成像、乳腺癌筛查、银屑病和皮肤病变诊断、活检及手术引导、生殖和泌尿系统肿瘤治疗引导以及前哨淋巴结肿瘤转移成像等领域。在此,我们综述各类临床和临床前文献,并探讨其潜在应用以及仍需克服的障碍。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdcd/6595011/bef899fcf898/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdcd/6595011/bef899fcf898/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdcd/6595011/bef899fcf898/gr2.jpg

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Adv Mater. 2018 Aug;30(35):e1802591. doi: 10.1002/adma.201802591. Epub 2018 Jul 10.
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Recent Development of Technology and Application of Photoacoustic Molecular Imaging Toward Clinical Translation.
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PA OmniNet: A retraining-free, generalizable deep learning framework for robust photoacoustic image reconstruction.PA OmniNet:一种用于稳健光声图像重建的无需重新训练的通用深度学习框架。
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