Cherenkov-excited luminescence sheet imaging (CELSI) tomographic reconstruction

Jinchao Feng; Petr Bruza; Hamid Dehghani; Scott C. Davis; Brian W. Pogue

doi:10.1117/12.2250670

8 February 2017 Cherenkov-excited luminescence sheet imaging (CELSI) tomographic reconstruction

Jinchao Feng, Petr Bruza, Hamid Dehghani, Scott C. Davis, Brian W. Pogue

Proceedings Volume 10049, Molecular-Guided Surgery: Molecules, Devices, and Applications III; 1004912 (2017) https://doi.org/10.1117/12.2250670
Event: SPIE BiOS, 2017, San Francisco, California, United States

Abstract

A tomographic reconstruction algorithm for Cherenkov-excited luminescence scanned imaging (CELSI) is proposed and demonstrated for the first time, to reconstruct distributions of luminescent source. Coupled continuous wave (CW) diffusion equations are used to model luminescent photon propagation in biological tissues. The CELSI reconstruction was achieved by minimizing the difference between measured and computed data based on Tikhonov regularization technique. The feasibility and effectiveness of the algorithm were tested with numerical simulations on noisy data. In addition, comparisons between conventional diffuse optical fluorescence tomography (DOFT) and CELSI were also performed. Contrast-detail analysis was also used to evaluate the imaging performance of CELSI.

Conference Presentation

Citation Download Citation

Jinchao Feng, Petr Bruza, Hamid Dehghani, Scott C. Davis, and Brian W. Pogue "Cherenkov-excited luminescence sheet imaging (CELSI) tomographic reconstruction", Proc. SPIE 10049, Molecular-Guided Surgery: Molecules, Devices, and Applications III, 1004912 (8 February 2017); https://doi.org/10.1117/12.2250670

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