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Unmixing multi-spectral photoacoustic sources in human carotid plaques using non-negative independent component analysis.
Photoacoustics ( IF 7.9 ) Pub Date : 2019-07-25 , DOI: 10.1016/j.pacs.2019.100140
M U Arabul 1 , M C M Rutten 1 , P Bruneval 2 , M R H M van Sambeek 1, 3 , F N van de Vosse 1 , R G P Lopata 1
Affiliation  

Multi-spectral photoacoustic imaging (MSPAI) is promising for morphology assessment of carotid plaques; however, obtaining unique spectral characteristics of chromophores is cumbersome. We used MSPAI and non-negative independent component analysis (ICA) to unmix distinct signal sources in human carotid plaques blindly. The feasibility of the method was demonstrated on a plaque phantom with hemorrhage and cholesterol inclusions, and plaque endarterectomy samples ex vivo. Furthermore, the results were verified with histology using Masson's trichrome staining. Results showed that ICA could separate recent hemorrhages from old hemorrhages. Additionally, the signatures of cholesterol inclusion were also captured for the phantom experiment. Artifacts were successfully removed from signal sources. Histologic examinations showed high resemblance with the unmixed components and confirmed the morphologic distinction between recent and mature hemorrhages. In future pre-clinical studies, unmixing could be used for morphology assessment of intact human plaque samples.



中文翻译:

使用非负独立分量分析在人颈动脉斑块中分解多光谱光声源。

多光谱光声成像(MSPAI)有望用于颈动脉斑块的形态学评估。然而,获得生色团的独特光谱特征是麻烦的。我们使用MSPAI和非负独立成分分析(ICA)盲目地分解人颈动脉斑块中不同的信号源。该方法的可行性已证实与出血和胆固醇夹杂牌匾幻象,和斑块动脉内膜切除术的样品先体外后体内。此外,使用Masson三色染色通过组织学证实了结果。结果表明,ICA可以将近期出血与旧出血区分开。此外,还为幻影实验捕获了胆固醇包含的特征。伪像已成功从信号源中清除。组织学检查显示与未混合的成分高度相似,并证实了近期和成熟出血的形态学区别。在未来的临床前研究中,可以将混合用于完整人类斑块样品的形态评估。

更新日期:2019-07-25
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