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Functional Pitch of a Liver: Fatty Liver Disease Diagnosis with Photoacoustic Spectrum Analysis

机译:肝功能性变:通过光声频谱分析诊断脂肪性肝病

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To provide more information for classification and assessment of biological tissues, photoacoustic spectrum analysis (PASA) moves beyond the quantification of the intensities of the photoacoustic (PA) signals by the use of the frequency-domain power distribution, namely power spectrum, of broadband PA signals. The method of PASA quantifies the linear-fit to the power spectrum of the PA signals from a biological tissue with 3 parameters, including intercept, midband-fit and slope. Intercept and midband-fit reflect the total optical absorption of the tissues whereas slope reflects the heterogeneity of the tissue structure. Taking advantage of the optical absorption contrasts contributed by lipid and blood at 1200 and 532 run, respectively and the heterogeneous tissue microstructure in fatty liver due to the lipid infiltration, we investigate the capability of PASA in identifying histological changes of fatty livers in mouse model. 6 and 9 pairs of normal and fatty liver tissues from rat models were examined by ex vivo experiment with a conventional rotational PA measurement system. One pair of rat models with normal and fatty livers was examined non-invasively and in situ with our recently developed ultrasound and PA parallel imaging system. The results support our hypotheses that the spectrum analysis of PA signals can provide quantitative measures of the differences between the normal and fatty liver tissues and that part of the PA power spectrum can suffice for characterization of microstructures in biological tissues. Experimental results also indicate that the vibrational absorption peak of lipid at 1200nm could facilitate fatty liver diagnosis.
机译:为了为生物组织的分类和评估提供更多信息,光声频谱分析(PASA)通过使用宽带PA的频域功率分布(即功率谱)超越了光声(PA)信号强度的量化范围信号。 PASA方法使用3个参数(包括截距,中频带拟合和斜率)对来自生物组织的PA信号的功率谱进行线性拟合。截距和中频带拟合反映了组织的总光学吸收,而斜率反映了组织结构的异质性。利用分别由脂质和血液在1200和532 run处贡献的光吸收对比以及由于脂质浸润导致脂肪肝的异质组织微观结构,我们研究了PASA在小鼠模型中鉴定脂肪肝组织学变化的能力。使用常规旋转PA测量系统通过离体实验检查了来自大鼠模型的6对和9对正常和脂肪肝组织。使用我们最近开发的超声和PA并行成像系统,非侵入性和原位检查了一对正常和脂肪肝的大鼠模型。结果支持我们的假设,即PA信号的频谱分析可以提供正常肝组织和脂肪肝组织之间差异的定量测量,并且PA功率谱的一部分可以满足生物组织中微结构的表征。实验结果还表明,脂质在1200nm处的振动吸收峰可促进脂肪肝的诊断。

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