Análisis multivariante de imágenes de speckle para visualización de vasos sanguíneos
Laser speckle contrast imaging (LSCI) is an economical and non-invasive optical technique that allows monitoring the dynamics of a system, regardless of the nature that originates it. Depending on the algorithm used, it may have a good temporal and/or spatial resolution. Most LSCI systems, including...
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| Tipo de recurso: | tesis doctoral |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2019 |
| País: | México |
| Institución: | Instituto Nacional de Astrofísica, Óptica y Electrónica |
| Repositorio: | Repositorio Institucional del INAOE |
| Idioma: | español |
| OAI Identifier: | oai:inaoe.repositorioinstitucional.mx:1009/2018 |
| Acceso en línea: | http://inaoe.repositorioinstitucional.mx/jspui/handle/1009/2018 |
| Access Level: | acceso abierto |
| Palabra clave: | info:eu-repo/classification/Inspec/LSCI info:eu-repo/classification/Inspec/Biospeckle info:eu-repo/classification/Inspec/PCA info:eu-repo/classification/Inspec/Flujo sanguíneo. info:eu-repo/classification/cti/1 info:eu-repo/classification/cti/22 info:eu-repo/classification/cti/2209 |
| Sumario: | Laser speckle contrast imaging (LSCI) is an economical and non-invasive optical technique that allows monitoring the dynamics of a system, regardless of the nature that originates it. Depending on the algorithm used, it may have a good temporal and/or spatial resolution. Most LSCI systems, including commercial devices, can perform an evaluation of the object (usually highly spreader) under study only at the surface level, due to the spreading properties of the medium, which causes a loss in the visibility of deep objects (a few hundred microns), which may be present in the medium, which is an important limitation of this technique. Similarly, there are several factors that prevent the use of LSCI as a quantitative technique. Among these factors, the effect of static spreaders surrounding the objects to be visualized, for example, blood vessels within biological tissue, is highlighted. The objective of this work is the study, analysis, and implementation of speckle image processing algorithms that allow us to improve the visualization of deep blood vessels. In particular, the analysis of the corresponding speckle images with main components. To achieve this, skin mannequins with blood vessels were manufactured, which allow us different skin parameters, such as the depth of the vessels, diameter, and blood flow rate among others. The models presented here are of great importance in biomedical applications, allowing us to place the LSI method as an attractive analysis tool in the investigations of this field. |
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