Share Email Print
cover

Journal of Biomedical Optics

Laplacian manifold regularization method for fluorescence molecular tomography
Author(s): Xuelei He; Xiaodong Wang; Huangjian Yi; Yanrong Chen; Xu Zhang; Jingjing Yu; Xiaowei He
Format Member Price Non-Member Price
PDF $20.00 $25.00

Paper Abstract

Sparse regularization methods have been widely used in fluorescence molecular tomography (FMT) for stable three-dimensional reconstruction. Generally, 1 -regularization-based methods allow for utilizing the sparsity nature of the target distribution. However, in addition to sparsity, the spatial structure information should be exploited as well. A joint 1 and Laplacian manifold regularization model is proposed to improve the reconstruction performance, and two algorithms (with and without Barzilai–Borwein strategy) are presented to solve the regularization model. Numerical studies and in vivo experiment demonstrate that the proposed Gradient projection-resolved Laplacian manifold regularization method for the joint model performed better than the comparative algorithm for 1 minimization method in both spatial aggregation and location accuracy.

Paper Details

Date Published: 21 April 2017
PDF: 13 pages
J. Biomed. Opt. 22(4) 045009 doi: 10.1117/1.JBO.22.4.045009
Published in: Journal of Biomedical Optics Volume 22, Issue 4
Show Author Affiliations
Xuelei He, Northwest Univ. (China)
Xiaodong Wang, Northwest Univ. (China)
Huangjian Yi, Northwest Univ. (China)
Yanrong Chen, Northwest Univ. (China)
Xu Zhang, Northwest Univ. (China)
Jingjing Yu, Shaanxi Normal Univ. (China)
Xiaowei He, Northwest Univ. (China)


© SPIE. Terms of Use
Back to Top