Comparative studies of l(p)-regularization-based reconstruction algorithms for bioluminescence tomography.
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Incorporating MRI structural information into bioluminescence tomography: system, heterogeneous reconstruction and in vivo quantification.Multi-atlas registration and adaptive hexahedral voxel discretization for fast bioluminescence tomographyBayesian sparse-based reconstruction in bioluminescence tomography improves localization accuracy and reduces computational time.Bioluminescence tomography with structural information estimated via statistical mouse atlas registration
P2860
Comparative studies of l(p)-regularization-based reconstruction algorithms for bioluminescence tomography.
description
2012 nî lūn-bûn
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2012年の論文
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2012年学术文章
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2012年学术文章
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2012年学术文章
@zh-hans
2012年学术文章
@zh-my
2012年学术文章
@zh-sg
2012年學術文章
@yue
2012年學術文章
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2012年學術文章
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name
Comparative studies of l(p)-re ...... or bioluminescence tomography.
@ast
Comparative studies of l(p)-re ...... or bioluminescence tomography.
@en
type
label
Comparative studies of l(p)-re ...... or bioluminescence tomography.
@ast
Comparative studies of l(p)-re ...... or bioluminescence tomography.
@en
prefLabel
Comparative studies of l(p)-re ...... or bioluminescence tomography.
@ast
Comparative studies of l(p)-re ...... or bioluminescence tomography.
@en
P2093
P2860
P356
P1476
Comparative studies of l(p)-re ...... or bioluminescence tomography.
@en
P2093
Jimin Liang
Qitan Zhang
Xiaochao Qu
Xueli Chen
P2860
P304
P356
10.1364/BOE.3.002916
P577
2012-10-23T00:00:00Z