Literature DB >> 20126228

Bioluminescence tomography based on the phase approximation model.

W Cong1, G Wang.   

Abstract

A reconstruction method of bioluminescence sources is proposed based on a phase approximation model. Compared with the diffuse approximation, this phase approximation model more correctly predicts bioluminescence photon propagation in biological tissues, so that bioluminescence tomography can accurately locate and quantify the distribution of bioluminescence sources. The compressive sensing (CS) technique is applied to regularize the inverse source reconstruction to enhance numerical stability and efficiency. The numerical simulation and phantom experiments demonstrate the feasibility of the proposed approach.

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Year:  2010        PMID: 20126228      PMCID: PMC2853929          DOI: 10.1364/JOSAA.27.000174

Source DB:  PubMed          Journal:  J Opt Soc Am A Opt Image Sci Vis        ISSN: 1084-7529            Impact factor:   2.129


  18 in total

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5.  Spectrally resolved bioluminescence optical tomography.

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6.  Modeling photon propagation in biological tissues using a generalized Delta-Eddington phase function.

Authors:  W Cong; H Shen; A Cong; Y Wang; G Wang
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2007-11-14

7.  Integral equations of the photon fluence rate and flux based on a generalized Delta-Eddington phase function.

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8.  MCML--Monte Carlo modeling of light transport in multi-layered tissues.

Authors:  L Wang; S L Jacques; L Zheng
Journal:  Comput Methods Programs Biomed       Date:  1995-07       Impact factor: 5.428

9.  The finite element method for the propagation of light in scattering media: boundary and source conditions.

Authors:  M Schweiger; S R Arridge; M Hiraoka; D T Delpy
Journal:  Med Phys       Date:  1995-11       Impact factor: 4.071

10.  Optical bioluminescence and positron emission tomography imaging of a novel fusion reporter gene in tumor xenografts of living mice.

Authors:  Pritha Ray; Anna M Wu; Sanjiv S Gambhir
Journal:  Cancer Res       Date:  2003-03-15       Impact factor: 12.701

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  2 in total

1.  Comparative studies of l(p)-regularization-based reconstruction algorithms for bioluminescence tomography.

Authors:  Qitan Zhang; Xueli Chen; Xiaochao Qu; Jimin Liang; Jie Tian
Journal:  Biomed Opt Express       Date:  2012-10-23       Impact factor: 3.732

2.  Compressive sensing based reconstruction in bioluminescence tomography improves image resolution and robustness to noise.

Authors:  Hector R A Basevi; Kenneth M Tichauer; Frederic Leblond; Hamid Dehghani; James A Guggenheim; Robert W Holt; Iain B Styles
Journal:  Biomed Opt Express       Date:  2012-08-15       Impact factor: 3.732

  2 in total

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