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Proceedings Paper

Determining the regularization parameter: a hybrid reconstruction technique in fluorescence molecular tomography
Author(s): Zhun Xu; Yan Jin; Jing Bai
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Paper Abstract

Fluorescence molecular tomography (FMT) can obtain a sufficient data set and optimal three-dimensional images when projections are captured over 360° by CCD camera. In the Tikhonov regularization-based reconstruction procedure of FMT, the optimal regularization parameter obtained by some parameter-choice methods might miss the accurate result due to the model-mismatch and discretization error. Herein a two-step algorithm was proposed. In the first step, a suboptimal parameter was estimated based on the expected value of the Fourier coefficient of perturbation. Then in the second step, the L-curve criterion was adopted to get the optimal parameter in the permissible region obtained in the first step. With the optimal parameter and permissible region, more accurate reconstruction result was acquired. Experimental results suggested that such technique outperform the traditional L-curve criterion when applying into the FMT reconstruction.

Paper Details

Date Published: 25 November 2009
PDF: 9 pages
Proc. SPIE 7634, Optical Sensors and Biophotonics, 763407 (25 November 2009); doi: 10.1117/12.852005
Show Author Affiliations
Zhun Xu, Tsinghua Univ. (China)
Yan Jin, Tsinghua Univ. (China)
Jing Bai, Tsinghua Univ. (China)

Published in SPIE Proceedings Vol. 7634:
Optical Sensors and Biophotonics
Xingde Li; Qingming Luo; Vasilis Ntziachristos; Yoshiaki Yasuno, Editor(s)

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