Determining the regularization parameter: a hybrid reconstruction technique in fluorescence molecular tomography

Zhun Xu; Yan Jin; Jing Bai

doi:10.1117/12.852005

25 November 2009 Determining the regularization parameter: a hybrid reconstruction technique in fluorescence molecular tomography

Zhun Xu, Yan Jin, Jing Bai

Author Affiliations +

Proceedings Volume 7634, Optical Sensors and Biophotonics; 763407 (2009) https://doi.org/10.1117/12.852005
Event: Asia Communications and Photonics, 2009, Shanghai, Shanghai , China

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.

Citation Download Citation

Zhun Xu, Yan Jin, and Jing Bai "Determining the regularization parameter: a hybrid reconstruction technique in fluorescence molecular tomography", Proc. SPIE 7634, Optical Sensors and Biophotonics, 763407 (25 November 2009); https://doi.org/10.1117/12.852005

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available