Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

A Reconstruction Algorithm for Bioluminescence Tomography Based on Sparse and Total Variation Regularizations

Not Accessible

Your library or personal account may give you access


A novel reconstruction algorithm for bioluminescence tomography was proposed by combining sparse (L1 norm) and total variation regularizations. Results of simulation image reconstructions showed that the proposed algorithm could improve the quantification of reconstructed bioluminescence sources.

© 2018 The Author(s)

PDF Article
More Like This
Iterative reweighting via homotopy for reconstruction of bioluminescence tomography

Jingjing Yu, Qiyue Li, and Haiyu Wang
AF2A.39 Asia Communications and Photonics Conference (ACPC) 2016

Bioluminescence Tomography With A PDE-Constrained Algorithm Based On The Equation Of Radiative Transfer

Hyun Keol Kim and Andreas H. Hielscher
BSu3A.89 Biomedical Optics (BIOMED) 2012

Random Matrix-based Dimensionality Reduction for Bioluminescence Tomography Reconstruction

Iain B. Styles, Hector R.A. Basevi, James A. Guggenheim, and Hamid Dehghani
87990J European Conference on Biomedical Optics (ECBO) 2013


You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
Login to access Optica Member Subscription

Select as filters

Select Topics Cancel
© Copyright 2022 | Optica Publishing Group. All Rights Reserved