L0 constrained sparse reconstruction for multi-slice helical CT reconstruction. - Archive ouverte HAL Access content directly
Journal Articles Physics in Medicine and Biology Year : 2011

L0 constrained sparse reconstruction for multi-slice helical CT reconstruction.

(1, 2) , (1, 2) , (1, 2) , (1, 3) , (4)
1
2
3
4

Abstract

In this paper, we present a Bayesian maximum a posteriori method for multi-slice helical CT reconstruction based on an L0-norm prior. It makes use of a very low number of projections. A set of surrogate potential functions is used to successively approximate the L0-norm function while generating the prior and to accelerate the convergence speed. Simulation results show that the proposed method provides high quality reconstructions with highly sparse sampled noise-free projections. In the presence of noise, the reconstruction quality is still significantly better than the reconstructions obtained with L1-norm or L2-norm priors.
Fichier principal
Vignette du fichier
L0PMB.pdf (969.84 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

inserm-00566886 , version 1 (17-02-2011)

Identifiers

Cite

Yining Hu, Lizhe Xie, Limin M. Luo, Jean Claude Nunes, Christine Toumoulin. L0 constrained sparse reconstruction for multi-slice helical CT reconstruction.. Physics in Medicine and Biology, 2011, 56 (4), pp.1173-89. ⟨10.1088/0031-9155/56/4/018⟩. ⟨inserm-00566886⟩
152 View
377 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More