DocumentCode :
1877653
Title :
An improved super-short-scan reconstruction for fan-beam computed tomography
Author :
Ma, Jianhua ; Chen, Lingjian ; Huang, Jing ; Chen, Wufan
Author_Institution :
Inst. of Med. Inf. & Technol., Southern Med. Univ., Guangzhou
fYear :
2008
fDate :
12-15 Oct. 2008
Firstpage :
2936
Lastpage :
2939
Abstract :
We propose an improved super-short-scan reconstruction algorithm for fan-beam computed tomography based on pi-lines in this paper. Within the framework of the classic FBP algorithm, this new algorithm can achieve exact reconstruction of the region of interest (ROI), if and only if all lines passing through the ROI intersect the source trajectory. The new reconstruction formula successfully avoids the direct derivative of projection data and is expressed as the combination of Hilbert filter and Ramp filter rather than weighted Hilbert filter. This helps increase the numerical stability and improves the quality of reconstructed images, as the real data reconstruction involves discrete data. A preliminary computer simulation study has been done, and a comparison with other classic super-short-scan reconstruction algorithms proves the validation of this new algorithm.
Keywords :
computerised tomography; filtering theory; image reconstruction; data reconstruction; fan-beam computed tomography; pi-lines; ramp filter; region of interest; super-short-scan reconstruction; weighted Hilbert filter; Biomedical engineering; Biomedical imaging; Computed tomography; Computer simulation; Detectors; Filters; Geometry; Image reconstruction; Numerical stability; Reconstruction algorithms; π-line; fan-beam CT; super-short-scan;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location :
San Diego, CA
ISSN :
1522-4880
Print_ISBN :
978-1-4244-1765-0
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2008.4712410
Filename :
4712410
Link To Document :
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