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Differentiation between malignant and normal human thyroid tissue using frequency analysis of multispectral Photoacoustic images

机译:利用多光谱光声图像频率分析的恶性和正常人甲状腺组织之间的分化

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This study investigates the feasibility of using frequency analysis of multispectral PA (Photoacoustics) signals generated by excised human thyroid tissue to differentiate between malignant and normal thyroid regions. Multispectral PA imaging was performed on freshly excised thyroid tissue from 6 patients undergoing thyroidectomy or thyroid lobectomy. The regions of interests in the PA images corresponding to malignant and normal tissue have been selected with the help of histopathology slides. The calibrated power spectrum of each PA signal from each region of interest was fit to a linear model for extracting the values of slope, midband fit and intercept parameters. The results show that mean values of intercept and midband fit parameters are significantly different between malignant and normal regions for all five wavelengths and mean values of slope are significantly different for two wavelengths.
机译:本研究研究了使用切除的人甲状腺组织产生的多光谱PA(光声PA(光声)信号的可行性,以区分恶性和正常的甲状腺区。从接受甲状腺切除术或甲状腺肺切除术的6例患者进行多光谱PA成像。在组织病理学载玻片的帮助下,已经选择了对应于恶性和正常组织的PA图像中的感兴趣区域。来自每个感兴趣区域的每个PA信号的校准功率谱都适合用于提取斜率,MIDBAND FIT和拦截参数的值的线性模型。结果表明,对于所有五个波长的恶性和正常区域之间的截距和中频拟合参数的平均值显着不同,并且对于两个波长,斜率的平均值显着不同。

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