Iterative reconstruction using Monte Carlo generated system matrix for angle-restricted optical tomography

Veronica C. Torres; Chengyue Li; Jovan G. Brankov; Kenneth M. Tichauer

doi:10.1117/12.2584915

5 March 2021 Iterative reconstruction using Monte Carlo generated system matrix for angle-restricted optical tomography

Veronica C. Torres, Chengyue Li, Jovan G. Brankov, Kenneth M. Tichauer

Proceedings Volume 11639, Optical Tomography and Spectroscopy of Tissue XIV; 116391U (2021) https://doi.org/10.1117/12.2584915
Event: SPIE BiOS, 2021, Online Only

Conference Poster

Abstract

Filtered backprojection (FBP) reconstruction is a simple and rapid technique for reconstructing tomographic data. Optical projection tomography (OPT) for instance, makes use of this technique to facilitate three dimensional visualization of optically clear biological tissues. However, for the case of nontransparent specimens where scattering dominates, more representative algorithms are required to model the behavior of light through the sample such that the object of interest can be recreated. In this work, model-based iterative techniques are investigated for use with an angle-restricted fluorescence OPT system for the specific application of imaging lymph nodes. Through physical and simulated phantoms, the effects of model inaccuracies in Monte Carlo-generated system matrices was evaluated. Findings demonstrated the importance of accurately capturing detector response, and that sample optical properties were more influential than sample geometry in affecting the reconstructed results.

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Citation Download Citation

Veronica C. Torres, Chengyue Li, Jovan G. Brankov, and Kenneth M. Tichauer "Iterative reconstruction using Monte Carlo generated system matrix for angle-restricted optical tomography", Proc. SPIE 11639, Optical Tomography and Spectroscopy of Tissue XIV, 116391U (5 March 2021); https://doi.org/10.1117/12.2584915

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