Hostname: page-component-78c5997874-fbnjt Total loading time: 0 Render date: 2024-11-06T04:13:06.625Z Has data issue: false hasContentIssue false

Iterative X-ray Cone-Beam Tomography for Metal Artifact Reduction and Local Region Reconstruction

Published online by Cambridge University Press:  31 July 2002

Ge Wang
Affiliation:
Department of Radiology, University of Iowa, Iowa City, IA
Michael W. Vannier
Affiliation:
Department of Radiology, University of Iowa, Iowa City, IA
Ping-Chin Cheng
Affiliation:
Advanced Microscopy and Imaging Laboratory, Department of Electrical and Computer Engineering, State University of New York at Buffalo
Get access

Abstract

X-ray cone-beam reconstruction from incomplete projection data has important practical applications, especially in microtomography. We developed expectation maximization (EM)-type and algebraic reconstruction technique (ART)-type iterative cone-beam reconstruction algorithms for metal artifact reduction and local reconstruction from truncated data. These iterative algorithms are adapted from the emission computerized tomography (CT) EM formula and the ART. A key step in our iterative algorithms is introduction of a projection mask and computation of a 3-D spatially varying relaxation factor that allows compensation for beam divergence and data incompleteness. The algorithms are simulated with projection data synthesized from mathematical phantoms. In simulation, the EM-type and ART-type iterative algorithms are demonstrated to be effective for metal artifact reduction and local region reconstruction. They perform similarly in terms of visual quality, image noise, and discrepancy between measured and reprojected data. The EM-type and ARTtype iterative cone-beam reconstruction algorithms have potential for metal artifact reduction and local region reconstruction in X-ray CT.

Type
Articles
Copyright
1999 Microscopy Society of America

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)