Sparseness prior based iterative image reconstruction for retrospectively gated cardiac micro-CT.

Journal Article

Recent advances in murine cardiac studies with three-dimensional (3D) cone beam micro-CT used a retrospective gating technique. However, this sampling technique results in a limited number of projections with an irregular angular distribution due to the temporal resolution requirements and radiation dose restrictions. Both angular irregularity and undersampling complicate the reconstruction process, since they cause significant streaking artifacts. This work provides an iterative reconstruction solution to address this particular challenge. A sparseness prior regularized weighted l2 norm optimization is proposed to mitigate streaking artifacts based on the fact that most medical images are compressible. Total variation is implemented in this work as the regularizer for its simplicity. Comparison studies are conducted on a 3D cardiac mouse phantom generated with experimental data. After optimization, the method is applied to in vivo cardiac micro-CT data.

Full Text

Duke Authors

Cited Authors

  • Song, J; Liu, QH; Johnson, GA; Badea, CT

Published Date

  • November 2007

Published In

Volume / Issue

  • 34 / 11

Start / End Page

  • 4476 - 4483

PubMed ID

  • 18072512

International Standard Serial Number (ISSN)

  • 0094-2405

Digital Object Identifier (DOI)

  • 10.1118/1.2795830

Language

  • eng

Conference Location

  • United States