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Proceedings Paper

Toward robust high resolution fluorescence tomography: a hybrid row-action edge preserving regularization
Author(s): Ali Behrooz; Hao-Min Zhou; Ali A. Eftekhar; Ali Adibi
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Paper Abstract

Depth-resolved localization and quantification of fluorescence distribution in tissue, called Fluorescence Molecular Tomography (FMT), is highly ill-conditioned as depth information should be extracted from limited number of surface measurements. Inverse solvers resort to regularization algorithms that penalize Euclidean norm of the solution to overcome ill-posedness. While these regularization algorithms offer good accuracy, their smoothing effects result in continuous distributions which lack high-frequency edge-type features of the actual fluorescence distribution and hence limit the resolution offered by FMT. We propose an algorithm that penalizes the total variation (TV) norm of the solution to preserve sharp transitions and high-frequency components in the reconstructed fluorescence map while overcoming ill-posedness. The hybrid algorithm is composed of two levels: 1) An Algebraic Reconstruction Technique (ART), performed on FMT data for fast recovery of a smooth solution that serves as an initial guess for the iterative TV regularization, 2) A time marching TV regularization algorithm, inspired by the Rudin-Osher-Fatemi TV image restoration, performed on the initial guess to further enhance the resolution and accuracy of the reconstruction. The performance of the proposed method in resolving fluorescent tubes inserted in a liquid tissue phantom imaged by a non-contact CW trans-illumination FMT system is studied and compared to conventional regularization schemes. It is observed that the proposed method performs better in resolving fluorescence inclusions at higher depths.

Paper Details

Date Published: 1 March 2011
PDF: 9 pages
Proc. SPIE 7896, Optical Tomography and Spectroscopy of Tissue IX, 78961E (1 March 2011); doi: 10.1117/12.874305
Show Author Affiliations
Ali Behrooz, Georgia Institute of Technology (United States)
Hao-Min Zhou, Georgia Institute of Technology (United States)
Ali A. Eftekhar, Georgia Institute of Technology (United States)
Ali Adibi, Georgia Institute of Technology (United States)

Published in SPIE Proceedings Vol. 7896:
Optical Tomography and Spectroscopy of Tissue IX
Bruce Jason Tromberg; Arjun G. Yodh; Mamoru Tamura; Eva Marie Sevick-Muraca; Robert R. Alfano, Editor(s)

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