Title | ||
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Extended Blind End-Member And Abundance Extraction For Biomedical Imaging Applications |
Abstract | ||
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In some applications of biomedical imaging, a linear mixture model can represent the constitutive elements (end-members) and their contributions (abundances) per pixel of the image. In this work, the extended blind end-member and abundance extraction (EBEAE) methodology is mathematically formulated to address the blind linear unmixing (BLU) problem subject to positivity constraints in optical measurements. The EBEAE algorithm is based on a constrained quadratic optimization and an alternated least-squares strategy to jointly estimate end-members and their abundances. In our proposal, a local approach is used to estimate the abundances of each end-member by maximizing their entropy, and a global technique is adopted to iteratively identify the end-members by reducing the similarity among them. All the cost functions are normalized, and four initialization approaches are suggested for the end-members matrix. Synthetic datasets are used first for the EBEAE validation at different noise types and levels, and its performance is compared to state-of-the-art algorithms in BLU. In a second stage, three experimental biomedical imaging applications are addressed with EBEAE: m-FLIM for chemometric analysis in oral cavity samples, OCT for macrophages identification in post-mortem artery samples, and hyper-spectral images for in-vivo brain tissue classification and tumor identification. In our evaluations, EBEAE was able to provide a quantitative analysis of the samples with none or minimal a priori information. |
Year | DOI | Venue |
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2019 | 10.1109/ACCESS.2019.2958985 | IEEE ACCESS |
Keywords | DocType | Volume |
Blind linear unmixing, constrained optimization, fluorescence lifetime imaging microscopy, hyperspectral imaging, optical coherence tomography | Journal | 7 |
ISSN | Citations | PageRank |
2169-3536 | 0 | 0.34 |
References | Authors | |
0 | 8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Daniel U. Campos-Delgado | 1 | 73 | 17.67 |
O. Gutiérrez-Navarro | 2 | 2 | 2.78 |
J J Rico-Jimenez | 3 | 0 | 0.34 |
E Duran | 4 | 0 | 0.34 |
Himar Fabelo | 5 | 34 | 10.87 |
S Ortega | 6 | 0 | 0.34 |
Gustavo Marrero Callicó | 7 | 109 | 17.04 |
Javier A Jo | 8 | 3 | 4.10 |