Fluorescence molecular tomography reconstruction using hybrid regularization method

Mingze Li; Fei Liu; Jing Bai

doi:10.1117/12.900150

22 August 2011 Fluorescence molecular tomography reconstruction using hybrid regularization method

Mingze Li, Fei Liu, Jing Bai

Proceedings Volume 8192, International Symposium on Photoelectronic Detection and Imaging 2011: Laser Sensing and Imaging; and Biological and Medical Applications of Photonics Sensing and Imaging; 81924W (2011) https://doi.org/10.1117/12.900150
Event: International Symposium on Photoelectronic Detection and Imaging 2011, 2011, Beijing, China

Abstract

Due to highly scattering of light in biological tissues, the inverse problem of fluorescent molecular tomography (FMT) is ill-posed by nature. Overcoming this difficulties requires regularization of the solution. Nevertheless, to choose a proper regularization parameter is not an easy task in practice. This work applies a hybrid regularization method in reconstruction. Instead of choosing a termination point for the original large-scale problem, this method achieves a reliable solution by inner Tikhonov regularization on a projected subspace problem. The choice of regularization parameter is realized in an iterative scheme. Numerical simulations are implemented to evaluate the performance of the algorithm. Results are also compared with those of truncated singular value decomposition (TSVD) and least square QR (LSQR). It is indicated that this hybrid method can reduce the computation time, as well as improve location accuracy of the fluorescence target in heterogeneous media.

Citation Download Citation

Mingze Li, Fei Liu, and Jing Bai "Fluorescence molecular tomography reconstruction using hybrid regularization method", Proc. SPIE 8192, International Symposium on Photoelectronic Detection and Imaging 2011: Laser Sensing and Imaging; and Biological and Medical Applications of Photonics Sensing and Imaging, 81924W (22 August 2011); https://doi.org/10.1117/12.900150

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