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Conference Paper
Asia Communications and Photonics Conference and Exhibition
Shanghai China
November 2-6, 2009
ISBN: 978-1-55752-877-3
SC 05 Best Student Paper Competition (TuG)

Determining the Regularization Parameter: A Hybrid Reconstruction Technique in Fluorescence Molecular Tomography

Zhun Xu, Yan Jin, and Jing Bai

http://dx.doi.org/10.1364/ACP.2009.TuG6


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Abstract

Herein a two-step Tikhonov regularization-based reconstruction algorithm in fluorescence molecular tomography (FMT) was proposed. The suboptimal and optimal parameter was obtained in two steps alternately. Experimental results suggested that such technique outperform the traditional L-curve criterion that estimating the optimal parameter when applying into the FMT reconstruction.

© OSA, IEEE Photonics Society, SPIE, COS, CIC

OCIS Codes
(110.0110) Imaging systems : Imaging systems
(110.6960) Imaging systems : Tomography
(170.0170) Medical optics and biotechnology : Medical optics and biotechnology
(170.3010) Medical optics and biotechnology : Image reconstruction techniques

Citation
Z. Xu, Y. Jin, and J. Bai, "Determining the Regularization Parameter: A Hybrid Reconstruction Technique in Fluorescence Molecular Tomography," in Asia Communications and Photonics Conference and Exhibition, Technical Digest (CD) (Optical Society of America, 2009), paper TuG6.
http://www.opticsinfobase.org/abstract.cfm?URI=ACP-2009-TuG6


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