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基于X射线诱导声学计算机断层扫描的深部组织绝对格林爱森参数测量。

Absolute Grüneisen parameter measurement in deep tissue based on X-ray-induced acoustic computed tomography.

作者信息

Chen Feng, Sun Mingli, Chen Ruimin, Li Chiye, Shi Junhui

机构信息

Zhejiang Lab, Hangzhou 311121, China.

出版信息

Biomed Opt Express. 2023 Feb 21;14(3):1205-1215. doi: 10.1364/BOE.483490. eCollection 2023 Mar 1.

Abstract

The Grüneisen parameter is a primary parameter of the initial sound pressure signal in the photoacoustic effect, which can provide unique biological information and is related to the temperature change information of an object. The accurate measurement of this parameter is of great significance in biomedical research. Combining X-ray-induced acoustic tomography and conventional X-ray computed tomography, we proposed a method to obtain the absolute Grüneisen parameter. The theory development, numerical simulation, and biomedical application scenarios are discussed. The results reveal that our method not only can determine the Grüneisen parameter but can also obtain the body internal temperature distribution, presenting its potential in the diagnosis of a broad range of diseases.

摘要

格林爱森参数是光声效应中初始声压信号的一个主要参数,它能提供独特的生物信息,且与物体的温度变化信息相关。该参数的精确测量在生物医学研究中具有重要意义。结合X射线诱导声层析成像和传统X射线计算机断层扫描,我们提出了一种获取绝对格林爱森参数的方法。文中讨论了理论发展、数值模拟以及生物医学应用场景。结果表明,我们的方法不仅可以确定格林爱森参数,还能获得体内温度分布,展现了其在多种疾病诊断中的潜力。

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