Image reconstruction of fluorescent molecular tomography based on the tree structured Schur complement decomposition.
Background: The inverse problem of fluorescent molecular tomography (FMT) often involves complex large-scale matrix operations, which may lead to unacceptable computational errors and complexity. In this research, a tree structured Schur complement decomposition strategy is proposed to accelerate th...
| Publicado en: | BioMedical Engineering OnLine Vol. 9; pp. 20 - 21 |
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| Autores principales: | , , , , , |
| Formato: | research Journal Article |
| Publicado: |
BioMed Central
2010
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105044829&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105044829 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1475925X 1CGX jtl: BioMedical Engineering OnLine issn: 1475925X maglogo: N pubinfo: dt: 2010 vid: 9 pid: 24147 pub: BioMed Central artinfo: ui: 105044829 NLM20482886 2010703523 10.1186/1475-925X-9-20 NLM20482886 PMC2893184 105044829 ppf: 20 ppct: 1 formats: tig: atl: Image reconstruction of fluorescent molecular tomography based on the tree structured Schur complement decomposition. aug: au: Zou W Wang J Feng DD Zou, Wei Wang, Jiajun Feng, David Dagan affil: School of Electronics and Information Engineering, Soochow University, Suzhou 215021, China sug: subj: Image Processing, Computer Assisted Methods Tomography Methods Absorption Algorithms Finite Element Analysis Phantoms, Imaging Radiation ab: Background: The inverse problem of fluorescent molecular tomography (FMT) often involves complex large-scale matrix operations, which may lead to unacceptable computational errors and complexity. In this research, a tree structured Schur complement decomposition strategy is proposed to accelerate the reconstruction process and reduce the computational complexity. Additionally, an adaptive regularization scheme is developed to improve the ill-posedness of the inverse problem.Methods: The global system is decomposed level by level with the Schur complement system along two paths in the tree structure. The resultant subsystems are solved in combination with the biconjugate gradient method. The mesh for the inverse problem is generated incorporating the prior information. During the reconstruction, the regularization parameters are adaptive not only to the spatial variations but also to the variations of the objective function to tackle the ill-posed nature of the inverse problem.Results: Simulation results demonstrate that the strategy of the tree structured Schur complement decomposition obviously outperforms the previous methods, such as the conventional Conjugate-Gradient (CG) and the Schur CG methods, in both reconstruction accuracy and speed. As compared with the Tikhonov regularization method, the adaptive regularization scheme can significantly improve ill-posedness of the inverse problem.Conclusions: The methods proposed in this paper can significantly improve the reconstructed image quality of FMT and accelerate the reconstruction process. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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