Near infrared diffuse reflection and laser-induced fluorescence spectroscopy for myocardial tissue characterisation
Near infrared diffuse reflection and laser-induced fluorescence spectroscopy for myocardial tissue characterisation
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DOI：
10.1016/s1386-1425(97)00106-6
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发表时间：
1997-10-01
影响因子：
4.4
通讯作者：
AnderssonEngels, S
中科院分区：
文献类型：
--
作者：
Nilsson, AMK;Heinrich, D;AnderssonEngels, S
为了评估使用近红外（NIR）光谱法的心血管组织表征的潜力，在以前未探索的波长范围0.8-2.3 μ m的光谱记录从各种猪心脏组织样品在体外：正常心肌（有和没有心内膜/心外膜），主动脉;脂肪和纤维心脏组织。用主成分分析（PCA）分析光谱，揭示了几个光谱特征，使组织分类。通过将组织信号与从水、弹性蛋白、胶原蛋白和胆固醇以及已发表的数据获得的光谱进行比较，可以将几个识别的光谱特征归因于特定的组织成分。与近红外光谱技术在其潜在的分类不同的组织类型方面所获得的结果进行了比较，从激光诱导荧光（LIF），使用337 nm激发。LIF和NIR光谱可以与PCA结合用于区分所有先前提到的组织组，分别除了脂肪组织与纤维组织（LIF）和主动脉组织与纤维组织（NIR）。通过将PCA聚焦到2.0-2.3 μ m的波长段，改进了NIR分析，从而成功地对所有心血管组织组进行了光谱表征。(C)1997年Elsevier Science B.V.
In order to evaluate the potential of cardiovascular tissue characterisation using near-infrared (NIR) spectroscopy, spectra in a previously unexplored wavelength region 0.8-2.3 mu m were recorded from various pig heart tissue samples in vitro: normal myocardium (with and without endo/epicardium), aorta; fatty and fibrous heart tissue. The spectra were analysed with principal component analysis (PCA), revealing several spectroscopically characteristic features enabling tissue classification. Several of the identified spectral features could be attributed to specific tissue constituents by comparing the tissue signals with spectra obtained from water, elastin, collagen and cholesterol as well as with published data. The results obtained with the NIR spectroscopy technique in terms of its potential to classify different tissue types were compared with those from laser-induced fluorescence (LIF) using 337 nm excitation. LIF and NIR spectroscopy can in combination with PCA be used to discriminate between all previously mentioned tissue groups, apart from fatty versus fibrous tissue (LIF) and aorta versus fibrous tissue (NIR), respectively. The NIR analysis was improved by focusing the PCA to the wavelength segment 2.0-2.3 mu m, resulting in successful spectral characterisation of all cardiovascular tissue groups. (C) 1997 Elsevier Science B.V.