Abstract
Blind Source Separation methods (BSS) aim for the decomposition of a given signal in its main components or source signals. Those techniques have been widely used in the literature for the analysis of biomedical images, in order to extract the main components of an organ or tissue under study. The analysis of skin images for the extraction of melanin and hemoglobin is an example of the use of BSS. This paper presents a proof of concept of the use of source separation of ex-vivo aorta tissue multispectral Images. The images are acquired with an interference filter-based imaging system. The images are processed by means of two algorithms: Independent Components analysis and Non-negative Matrix Factorization. In both cases, it is possible to obtain maps that quantify the concentration of the main chromophores present in aortic tissue. Also, the algorithms allow for spectral absorbance of the main tissue components. Those spectral signatures were compared against the theoretical ones by using correlation coefficients. Those coefficients report values close to 0.9, which is a good estimator of the method's performance. Also, correlation coefficients lead to the identification of the concentration maps according to the evaluated chromophore. The results suggest that Multi/hyper-spectral systems together with image processing techniques is a potential tool for the analysis of cardiovascular tissue.
Highlights
Multispectral Imaging Systems (MIS) allow capture information outside the human perception range, which may include analysis in ultra violet, visible, infrared bands, X-ray or other bands of the electromagnetic spectrum [1, 2]
This paper presents a proof of concept of the use of multispectral images together with blind source separation techniques, for the analysis of ex-vivo aorta tissue
Blind source separation methods are used for the decomposition of cardiovascular tissue multispectral images in their main chromophores
Summary
Multispectral Imaging Systems (MIS) allow capture information outside the human perception range, which may include analysis in ultra violet, visible, infrared bands, X-ray or other bands of the electromagnetic spectrum [1, 2]. The results of this work show that multispectral imaging systems are a potential tool for the analysis of ex-vivo an in-vitro cardiovascular tissue This tool can be used in studies that search for how cardiovascular tissue’s extra-cellular matrix is affected by external factors caused by diseases such as fibrosis and atherosclerosis. This can lead to the development of new tools for diagnosis in cardiology that allow for a global knowledge about the state of a lesion and its surrounding tissue. The clinicians can do a better choice in both the right time for intervention and choice of treatment [9]
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