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Proceedings Paper

High resolution 3D image reconstruction in laminar optical tomography based on compressive sensing
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Paper Abstract

Laminar optical tomography (LOT) combines the advantages of diffuse optical tomography image reconstruction and a microscopy-based setup to allow non-contact imaging at depth up to a few millimeters. However, LOT image reconstruction paradigm is inherently an ill-posed and computationally expensive inverse problem. Herein, we cast the LOT inverse problem in the compressive sensing (CS) framework to exploit the sparsity of the fluorophore yield in the image domain and to address the ill-posedness of the LOT inverse problem. We apply this new approach to thick tissue engineering applications. We demonstrate the enhanced resolution of our method in 3-D numerical simulations of anatomically accurate microvasculature and using real data obtained from phantom experiments. Furthermore, CS is shown to be more robust against the reduction of measurements in comparison to the classic methods for such application. Potential benefits and shortcomings of the CS approach in the context of LOT are discussed.

Paper Details

Date Published: 17 February 2014
PDF: 5 pages
Proc. SPIE 8937, Multimodal Biomedical Imaging IX, 89370R (17 February 2014); doi: 10.1117/12.2037890
Show Author Affiliations
Fugang Yang, Shandong Institute of Business and Technology (China)
Rensselaer Polytechnic Institute (United States)
Mehmet S. Ozturk, Rensselaer Polytechnic Institute (United States)
Wenxiang Cong, Rensselaer Polytechnic Institute (United States)
Ge Wang, Rensselaer Polytechnic Institute (United States)
Xavier Intes, Rensselaer Polytechnic Institute (United States)

Published in SPIE Proceedings Vol. 8937:
Multimodal Biomedical Imaging IX
Fred S. Azar; Xavier Intes, Editor(s)

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