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用于肿瘤检测的联合超声、光声和光声弹性成像的三模态成像。

Tri-modality imaging for tumor detection with combined ultrasound, photoacoustic, and photoacoustic elastography.

作者信息

Wang Shuaihu, Huang Bingxin, Chan Simon C K, Tsang Victor T C, Wong Terence T W

机构信息

Translational and Advanced Bioimaging Laboratory, Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong, China.

Department of Mechanical Engineering and Material Science, Washington University in St. Louis, St. Louis, MO 63130, USA.

出版信息

Photoacoustics. 2024 Jun 25;38:100630. doi: 10.1016/j.pacs.2024.100630. eCollection 2024 Aug.

DOI:10.1016/j.pacs.2024.100630
PMID:39040971
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11261081/
Abstract

A comprehensive understanding of a tumor is required for accurate diagnosis and effective treatment. However, currently, there is no single imaging modality that can provide sufficient information. Photoacoustic (PA) imaging is a hybrid imaging technique with high spatial resolution and detection sensitivity, which can be combined with ultrasound (US) imaging to provide both optical and acoustic contrast. Elastography can noninvasively map the elasticity distribution of biological tissue, which reflects pathological conditions. In this study, we incorporated PA elastography into a commercial US/PA imaging system to develop a tri-modality imaging system, which has been tested for tumor detection using four mice with different physiological conditions. The results show that this tri-modality imaging system can provide complementary information on acoustic, optical, and mechanical properties. The enabled visualization and dimension estimation of tumors can lead to a more comprehensive tissue characterization for diagnosis and treatment.

摘要

准确的诊断和有效的治疗需要对肿瘤有全面的了解。然而,目前尚无单一的成像方式能够提供足够的信息。光声(PA)成像是一种具有高空间分辨率和检测灵敏度的混合成像技术,它可以与超声(US)成像相结合,提供光学和声学对比度。弹性成像可以无创地绘制生物组织的弹性分布,反映病理状况。在本研究中,我们将PA弹性成像集成到商用US/PA成像系统中,开发了一种三模态成像系统,并使用四只处于不同生理状态的小鼠对其进行了肿瘤检测测试。结果表明,这种三模态成像系统可以提供关于声学、光学和力学特性的互补信息。实现的肿瘤可视化和尺寸估计能够为诊断和治疗带来更全面的组织特征描述。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/748a/11261081/2d3719e8ac90/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/748a/11261081/c83dd6959c9e/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/748a/11261081/cd6d2259b7f3/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/748a/11261081/b91c669d826b/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/748a/11261081/7986ede6def9/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/748a/11261081/2d3719e8ac90/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/748a/11261081/c83dd6959c9e/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/748a/11261081/cd6d2259b7f3/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/748a/11261081/b91c669d826b/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/748a/11261081/7986ede6def9/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/748a/11261081/2d3719e8ac90/gr5.jpg

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