Single-pixel Computational Imaging: Application to Fluorescence and Diffuse Optical Imaging
In this dissertation, we demonstrate the use of single-pixel imaging methods in two important imaging modalities in biomedical applications, time-resolved fluorescence imaging and diffuse optical imaging. In fluorescence imaging, we apply a novel method based on data fusion to acquire giga-voxel 4D...
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| Tipo de recurso: | tesis doctoral |
| Estado: | Versión publicada |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | CBUC, CESCA |
| Repositorio: | TDR. Tesis Doctorales en Red |
| OAI Identifier: | oai:www.tdx.cat:10803/690418 |
| Acceso en línea: | http://hdl.handle.net/10803/690418 http://dx.doi.org/10.6035/14104.2024.716126 |
| Access Level: | acceso abierto |
| Palabra clave: | Single-pixel imaging Computational imaging Fluorescence imaging Diffuse optical imaging Spatial frequency domain imaging Fluorescence lifetime imaging Ciències 53 535 |
| Sumario: | In this dissertation, we demonstrate the use of single-pixel imaging methods in two important imaging modalities in biomedical applications, time-resolved fluorescence imaging and diffuse optical imaging. In fluorescence imaging, we apply a novel method based on data fusion to acquire giga-voxel 4D hypercubes by measuring only a very small fraction of the dataset. The proposed systems combine conventional cameras with multispectral, time-resolved single-pixel cameras, and data fusion is used to merge the 2D and projections generated by each individual camera into a high-resolution 4D hypercube. In the area of diffuse optical imaging, novel systems based on single-pixel imaging techniques have been developed, allowing the use of simplified detection schemes using integrating spheres as bucket detectors. |
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