Nilsson A M, Heinrich D, Olajos J, Andersson-Engels S
Department of Physics, Lund Institute of Technology, Sweden.
Spectrochim Acta A Mol Biomol Spectrosc. 1997 Oct;53A(11):1901-12. doi: 10.1016/s1386-1425(97)00106-6.
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 micron 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 microns, resulting in successful spectral characterisation of all cardiovascular tissue groups.
为了评估使用近红外（NIR）光谱对心血管组织进行表征的潜力，在体外从各种猪心脏组织样本中记录了0.8 - 2.3微米这个先前未探索的波长区域内的光谱：正常心肌（有和没有心内膜/心外膜）、主动脉、脂肪性和纤维性心脏组织。用主成分分析（PCA）对光谱进行分析，揭示了几个能够实现组织分类的光谱特征。通过将组织信号与从水、弹性蛋白、胶原蛋白和胆固醇获得的光谱以及已发表的数据进行比较，确定的几个光谱特征可归因于特定的组织成分。将使用近红外光谱技术在对不同组织类型进行分类的潜力方面获得的结果与使用337纳米激发的激光诱导荧光（LIF）的结果进行了比较。LIF和近红外光谱结合PCA可分别用于区分除脂肪组织与纤维组织（LIF）和主动脉与纤维组织（近红外）之外的所有上述组织组。通过将PCA聚焦于2.0 - 2.3微米的波长段改进了近红外分析，从而成功地对所有心血管组织组进行了光谱表征。
