DocumentCode
451739
Title
Azimuthal interpolation and noise reduction
Author
Penbel, C. ; Kachelrieb, M. ; Knaup, Michael ; Kalender, Willi A.
Author_Institution
Inst. of Med. Phys., Erlangen-Nurnberg Univ., Erlangen
Volume
4
fYear
2005
fDate
23-29 Oct. 2005
Firstpage
1946
Lastpage
1949
Abstract
The in-plane resolution of CT imaging depends not only on the number of detector elements per slice, but also on the number of projections used for reconstruction. If the number of projections is too small, artifacts occur. To overcome this problem, it suggests itself to increase the number of projections by interpolation. For this purpose a new interpolation method was developed. This method - advanced sinogram interpolation (ASI) - doubles the number of projection rows of a given parallel sinogram and thereby increases azimuthal resolution. The second field of application is noise reduction. It is possible to use ASI to decrease image noise. In particular, spatial resolution must be considered, as typically noise reduction can only be carried out at the expense of spatial resolution
Keywords
computerised tomography; image denoising; image reconstruction; image resolution; interpolation; medical image processing; CT imaging; advanced sinogram interpolation; artifacts; azimuthal interpolation; azimuthal resolution; detector elements; in-plane resolution; noise reduction; projections; reconstruction; Biomedical imaging; Computed tomography; Detectors; Geometry; Image reconstruction; Image resolution; Interpolation; Noise reduction; Physics; Spatial resolution;
fLanguage
English
Publisher
ieee
Conference_Titel
Nuclear Science Symposium Conference Record, 2005 IEEE
Conference_Location
Fajardo
ISSN
1095-7863
Print_ISBN
0-7803-9221-3
Type
conf
DOI
10.1109/NSSMIC.2005.1596713
Filename
1596713
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