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