NDLI: Comparing short scan CT reconstruction algorithms regarding cone-beam artifact performance

Content Provider	IEEE Xplore Digital Library
Author	Maass, C. Dennerlein, F. Noo, F. Kachelriess, M.
Copyright Year	2010
Description	Author affiliation: Siemens AG, Healthcare Sector, Siemensstr. 1, 91301 Forchheim, Germany (Dennerlein, F.) \|\| UCAIR, Department of Radiology, University of Utah, Salt Lake City, UT, USA (Noo, F.) \|\| Institute of Medical Physics (IMP), University of Erlangen-Nu¨rnberg, Henkestr. 91, 91052 Erlangen, Germany (Maass, C.; Kachelriess, M.)
Abstract	While circular cone-beam computed tomography (CBCT) has numerous advantages in CT scanner design, the image reconstruction from circular cone-beam data is known to be approximate since the data sufficiency condition is not fulfilled. This is an unresolved issue yet and may become a problem if the number of detector rows is further increased in the future. The purpose of this work is to evaluate different CBCT reconstruction algorithms regarding their cone-beam artifact performance. For the comparison the two standard methods Feldkamp and SART are used. Additionally the factorization approach, which is designed for reconstruction with low cone-beam artifacts and a new method for cone-beam artifact reduction (CBAR) based on iterative filtered backprojection reconstruction are used. Among the compared algorithms, the Feldkamp reconstruction has the lowest computational load and shows the worst cone-beam artifacts while the factorization approach shows the best trade-off between cone-beam artifacts and computation time.
Starting Page	2188
Ending Page	2193
File Size	1195316
Page Count	6
File Format	PDF
ISBN	9781424491063
ISSN	10957863
e-ISBN	9781424491056
DOI	10.1109/NSSMIC.2010.5874170
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Phantoms Image reconstruction Reconstruction algorithms Detectors Pixel Computed tomography Thorax computed tomography (CT) Cone-beam
Content Type	Text
Resource Type	Article

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