DocumentCode :
3535071
Title :
CT reconstruction based on improved total variation minimization
Author :
Xu, Qiong ; Mou, Xuanqin ; Tang, Shaojie ; Zhang, Yanbo
Author_Institution :
Inst. of Image Process. & Pattern Recognition, Xi´´an Jiaotong Univ., Xi´´an, China
fYear :
2010
fDate :
Oct. 30 2010-Nov. 6 2010
Firstpage :
3241
Lastpage :
3244
Abstract :
Reconstruction algorithm based on total variation (TV) minimization has become a hot topic in CT field. In order to make a better balance between suppressing noise and preserving edge, an improved variation is proposed in this paper. An anisotropic strategy is developed to effectively preserve the edges of imaging objects. Simultaneously, the unity weight in the original variation is substituted by an amplitude dependent weight to suppress the smaller variations, which arise from noise effect with a higher possibility. Numerical simulations validated that the CT reconstruction based on the improved variation has a better reconstruction performance as compared to its original counterpart.
Keywords :
computerised tomography; image reconstruction; medical image processing; minimisation; noise; numerical analysis; CT field; CT reconstruction; amplitude dependent weight; hot topic; noise effect; numerical simulation; preserving edge; reconstruction algorithm; suppressing noise; total variation minimization; Computed tomography; Image edge detection; Image reconstruction; Minimization; Noise; TV;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nuclear Science Symposium Conference Record (NSS/MIC), 2010 IEEE
Conference_Location :
Knoxville, TN
ISSN :
1095-7863
Print_ISBN :
978-1-4244-9106-3
Type :
conf
DOI :
10.1109/NSSMIC.2010.5874403
Filename :
5874403
Link To Document :
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