CASIA OpenIR  > 中国科学院分子影像重点实验室
An Efficient Global Inexact Newton Method Regularized by a Dynamic Sparse Term for In Vivo Tomographic Bioluminescence Imaging
Liu, Kai; Tian, J; Yang, X; Qin, CH; Zhu, SP; Han, D; Ma, XB; Tian, Jie
2010
Conference Name2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
Source PublicationAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS)
Pages3009-3012
Conference Date2010
Conference PlaceBuenos Aires, ARGENTINA
AbstractAbstract— Tomographic bioluminescence imaging suffers from poor imaging robustness, since it is severely affected by selection of regularization parameter (RP) and initialization for source distribution. In this paper, a global-inexact-Newton based reconstruction methodology, which is regularized by a dynamic sparse term, is demonstrated for in vivo tomographic imaging. The novel method can enhance higher imaging reliability and efficiency. Mouse experimental reconstructions were performed to validate the proposed method. These results demonstrate that the source distribution can be accurately located over a wide range of values of RP and iteration initializations. Moreover, the reconstruction efficiency was also studied.
Keyword-
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/5453
Collection中国科学院分子影像重点实验室
Corresponding AuthorTian, Jie
Recommended Citation
GB/T 7714
Liu, Kai,Tian, J,Yang, X,et al. An Efficient Global Inexact Newton Method Regularized by a Dynamic Sparse Term for In Vivo Tomographic Bioluminescence Imaging[C],2010:3009-3012.
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