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Proceedings Paper

A study on regularization parameter choice for interior tomography based on truncated Hilbert transform
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Paper Abstract

For interior tomography based on truncated Hilbert transform (THT), the recently proposed truncated singular value decomposition (TSVD) reconstruction method uses a regularization parameter given directly. In this paper, a method of choosing the regularization parameter is presented based on L-curve to get an optimal regularization parameter in theoretical sense. Furthermore, we develop a Tikhonov regularization method in comparison to TSVD. Simulation results indicate that both of the two regularization methods with the optimal regularization parameters have good performances on the image quality for both cases of noise-free and noisy projections.

Paper Details

Date Published: 17 March 2011
PDF: 8 pages
Proc. SPIE 7961, Medical Imaging 2011: Physics of Medical Imaging, 79612Z (17 March 2011); doi: 10.1117/12.877609
Show Author Affiliations
Junfeng Wu, Xi'an Jiaotong Univ. (China)
Xuanqin Mou, Xi'an Jiaotong Univ. (China)
Shaojie Tang, Xi'an Jiaotong Univ. (China)


Published in SPIE Proceedings Vol. 7961:
Medical Imaging 2011: Physics of Medical Imaging
Norbert J. Pelc; Ehsan Samei; Robert M. Nishikawa, Editor(s)

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