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使用局部振动标记 (LOVIT) 进行深层临床光声成像的杂波消除。

Clutter elimination for deep clinical optoacoustic imaging using localised vibration tagging (LOVIT).

机构信息

Institute of Applied Physics, University of Bern, Sidlerstrasse 5, 3012 Bern, Switzerland ; Joint Department of Physics, Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey SM2 5PT, UK ; CRUK-EPSRC Cancer Imaging Centre, Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey SM2 5PT, UK.

Joint Department of Physics, Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey SM2 5PT, UK ; CRUK-EPSRC Cancer Imaging Centre, Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey SM2 5PT, UK.

出版信息

Photoacoustics. 2013 Aug 2;1(2):19-29. doi: 10.1016/j.pacs.2013.07.002. eCollection 2013 May.

DOI:10.1016/j.pacs.2013.07.002
PMID:25302147
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4134903/
Abstract

This paper investigates a novel method which allows clutter elimination in deep optoacoustic imaging. Clutter significantly limits imaging depth in clinical optoacoustic imaging, when irradiation optics and ultrasound detector are integrated in a handheld probe for flexible imaging of the human body. Strong optoacoustic transients generated at the irradiation site obscure weak signals from deep inside the tissue, either directly by propagating towards the probe, or via acoustic scattering. In this study we demonstrate that signals of interest can be distinguished from clutter by tagging them at the place of origin with localised tissue vibration induced by the acoustic radiation force in a focused ultrasonic beam. We show phantom results where this technique allowed almost full clutter elimination and thus strongly improved contrast for deep imaging. Localised vibration tagging by means of acoustic radiation force is especially promising for integration into ultrasound systems that already have implemented radiation force elastography.

摘要

本文研究了一种新方法,可用于消除深层光声成像中的杂波。当将辐射光学和超声探测器集成在手持式探头中,以灵活地对人体进行成像时,杂波会极大地限制临床光声成像的深度。在辐射部位产生的强光声瞬变会通过向探头传播,或通过声散射,直接掩盖来自组织深部的弱信号。在这项研究中,我们证明通过在聚焦超声束中利用声辐射力在起源处引起局部组织振动,可以将感兴趣的信号与杂波区分开来。我们展示了幻影结果,其中该技术几乎完全消除了杂波,从而大大提高了深层成像的对比度。通过声辐射力进行局部振动标记对于集成到已经实现辐射力弹性成像的超声系统中尤其有前途。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e190/4134903/7513951c9036/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e190/4134903/fc5e5d2f46fe/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e190/4134903/2e7b5a2f4472/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e190/4134903/f38a933bc6b7/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e190/4134903/0172968c90ff/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e190/4134903/72541bea87fc/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e190/4134903/c73c52225988/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e190/4134903/7b9484472dff/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e190/4134903/9f5691a9bb79/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e190/4134903/7513951c9036/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e190/4134903/fc5e5d2f46fe/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e190/4134903/2e7b5a2f4472/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e190/4134903/f38a933bc6b7/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e190/4134903/0172968c90ff/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e190/4134903/72541bea87fc/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e190/4134903/c73c52225988/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e190/4134903/7b9484472dff/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e190/4134903/9f5691a9bb79/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e190/4134903/7513951c9036/gr9.jpg

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