NDLI: A Fast Reconstruction Algorithm for Fluorescence Diffusion Optical Tomography

Content Provider	IEEE Xplore Digital Library
Author	Xiaolei Song Jing Bai Xiaoyun Xiong Zhaotian Zhang
Copyright Year	2005
Description	Author affiliation: Dept. of Biomed. Eng., Tsinghua Univ., Beijing (Xiaolei Song; Jing Bai)
Abstract	Fluorescence optical diffusion tomography (FODT) is considered as one of the most promising ways for non-invasive molecular-based imaging. Many reconstructed approaches to FODT utilize iterative methods for data inversion. However, they are regarded as being time-consuming and far from meeting the real-time imaging requests. In this work, a fast pre-iteration algorithm based on the generalized inverse is established, which divides the image reconstruction into two steps that are off-line pre-iteration and on-line one-step reconstruction. In the pre-iteration step for obtaining the approximation of generalized inverse, a second order iterative format is employed to accelerate the convergence. Simulation based on the linear diffusion model shows that the distribution of fluorescent yield can be well estimated by this algorithm with second-order iteration. And the reconstructed speed is remarkably increased. Time-efficiency of this method will potentially promote the development of real-time imaging and the dynamic monitoring of molecular activity
Starting Page	1476
Ending Page	1479
File Size	284713
Page Count	4
File Format	PDF
ISBN	0780387414
DOI	10.1109/IEMBS.2005.1616710
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-01-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Reconstruction algorithms Fluorescence Tomography Image reconstruction Optical imaging Iterative algorithms Iterative methods Acceleration Convergence Yield estimation
Content Type	Text
Resource Type	Article

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