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用于生物组织微观结构表征的光声光谱分析:一项可行性研究。

Photoacoustic spectrum analysis for microstructure characterization in biological tissue: A feasibility study.

作者信息

Xu Guan, Dar Irfaan A, Tao Chao, Liu Xiaojun, Deng Cheri X, Wang Xueding

机构信息

Department of Radiology, University of Michigan Medical School, Ann Arbor, Michigan 48109, USA.

出版信息

Appl Phys Lett. 2012 Nov 26;101(22):221102. doi: 10.1063/1.4768703.

DOI:10.1063/1.4768703
PMID:23284178
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3523386/
Abstract

This study investigates the feasibility of characterizing the microstructures within a biological tissue by analyzing the frequency spectrum of the photoacoustic signal from the tissue. Hypotheses are derived from theoretical analyses on the relationships between the dimensions/concentrations of the photoacoustic sources within the region-of-interest and the linear model fitted to the power spectra of photoacoustic signals. The hypotheses are validated, following the procedures of ultrasound spectrum analysis, by simulations and experiments with phantoms fabricated by embedding the polyethylene microspheres in porcine gelatin, indicating that photoacoustic spectrum analysis could be a potential tool for characterizing microstructures in biological samples.

摘要

本研究通过分析来自生物组织的光声信号的频谱,探讨表征生物组织内部微观结构的可行性。假设源自对感兴趣区域内光声源的尺寸/浓度与拟合光声信号功率谱的线性模型之间关系的理论分析。按照超声频谱分析的程序,通过将聚乙烯微球嵌入猪明胶制成的仿体进行模拟和实验,对这些假设进行了验证,结果表明光声频谱分析可能是表征生物样品微观结构的一种潜在工具。

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本文引用的文献

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Frequency-domain analysis of photoacoustic imaging data from prostate adenocarcinoma tumors in a murine model.基于鼠模型的前列腺腺癌肿瘤光声成像数据的频域分析。
Ultrasound Med Biol. 2011 May;37(5):834-9. doi: 10.1016/j.ultrasmedbio.2011.01.012. Epub 2011 Mar 3.
2
In vivo characterization of pancreatic and lymph node tissue by using EUS spectrum analysis: a validation study.利用超声内镜谱分析对胰腺和淋巴结组织进行体内特征分析:一项验证性研究。
Gastrointest Endosc. 2010 Jan;71(1):53-63. doi: 10.1016/j.gie.2009.08.027. Epub 2009 Nov 17.
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Relationship of ultrasonic spectral parameters to features of tissue microstructure.超声频谱参数与组织微观结构特征的关系。
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ROC analysis of ultrasound tissue characterization classifiers for breast cancer diagnosis.用于乳腺癌诊断的超声组织特征分类器的ROC分析。
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Coronary plaque classification with intravascular ultrasound radiofrequency data analysis.基于血管内超声射频数据分析的冠状动脉斑块分类
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Characterization of tissue microstructure using ultrasonic backscatter: theory and technique for optimization using a Gaussian form factor.利用超声背向散射表征组织微观结构:采用高斯形状因子进行优化的理论与技术
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