Spectrally resolved bioluminescence tomography with the third-order simplified spherical harmonics approximation

Lu, Yujie; Douraghy, Ali; Machado, Hidevaldo B.; Stout, David; Hui, Hui; Herschman, Harvey; Chatziioannou, Arion F.

doi:10.1088/0031-9155/54/21/003

Cited by 38 publications

(39 citation statements)

References 28 publications

(45 reference statements)

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“…Diffuse luminescence tomography (DLIT) was performed and analyzed as per the manufacturer's instructions. 45,46 This algorithm reconstructs the depth of light sources based on the known properties of the emitted light from the luciferase, the index of attenuation of the tissues involved, and an iterative algorithm based on spectral filters acquired in sequence. …”

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confidence: 99%

Noninvasive bioluminescent imaging of primary patient acute lymphoblastic leukemia: a strategy for preclinical modeling

Barrett

Seif

Carpenito

et al. 2011

Blood

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The efficient engraftment in immunedeficient mice achieved with both acute lymphoblastic leukemia (ALL) cell lines and primary samples has facilitated identification of the antileukemia activity of a wide variety of agents. Despite widespread usage, however, little is known about the early ALL localization and engraftment kinetics in this model, limiting experimental read-outs primarily to survival and endpoint analysis at high disease burden. In this study, we report that bioluminescent imaging can be reproducibly achieved with primary human ALL samples. This approach provides a noninvasive, longitudinal measure of leukemia burden and localization that enhances the sensitivity of treatment response detection and provides greater insight into the mechanism of action of antileukemia agents. In addition, this study reveals significant cell line-and species-related differences in leukemia migration, especially early in expansion, which may confound observations between various leukemia models. Overall, this study demonstrates that the use of bioluminescent primary ALL allows the detection and quantitation of treatment effects at earlier, previously unquantifiable disease burdens and thus provides the means to standardize and expedite the evaluation of anti-ALL activity in preclinical xenograft studies. (Blood. 2011;118(15): e112-e117) IntroductionMurine leukemia models have been useful and versatile tools for identifying and targeting underlying disease mechanisms. 1 However, preclinical studies involving human samples are more immediately applicable when investigating new drugs or therapies. Initial studies with human leukemia in immune-deficient mice, such as the NOD/SCID (NOD.CB17-Prkdc scid /J), were a great step forward and remain valuable for rapid iterations in the study of novel therapies at the preclinical level. 2,3 More recently, use of severely immune-deficient NOD/SCID/␥c Ϫ/Ϫ (NSG; NOD.Cg-Prkdc scid / IL2rg tm1Wjl /SzJ and NOG; NOD.Cg-Prkdc scid /Il2rgt m1Sug /Jic) mice, which lack functional B, T, and NK cells, has allowed for more consistent and reproducible engraftment of normal human cells and primary leukemias. [4][5][6] Primary acute lymphoblastic leukemia (ALL) xenografts in immune-deficient mice accurately represent human disease and gene expression and may have predictive value for clinical variables, such as drug resistance and time to relapse. [7][8][9][10][11] Although this model is a powerful and widely used tool for the ongoing development of new drugs and biologic therapeutics for ALL, [12][13][14][15][16][17][18][19] the kinetics of every primary patient sample are different, some engrafting in 4 weeks and others taking as long as one year, when measured by the appearance of human ALL blasts in peripheral blood. 5,10,20 The endpoints of these studies are typically limited to survival analysis and time to grossly detectable disease. Monitoring the peripheral blood compartment for blasts is the primary method of disease detection, leaving the early engraftment kinetics and localization, t...

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confidence: 99%

Noninvasive bioluminescent imaging of primary patient acute lymphoblastic leukemia: a strategy for preclinical modeling

Barrett

Seif

Carpenito

et al. 2011

Blood

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“…As a consequence, more complex forward models to compensate the no-diffusion condition have the potential to improve the reconstruction quality further. 28,52 After the linear relationship based on improved models has been established, our proposed method in a generalized (l p ) regularization framework can be applied for tomographic imaging reconstructions as well.…”

Section: Discussionmentioning

confidence: 99%

“…Higher order approximation-based models may be helpful for higher imaging quality in narrow structures. 51,52 For all of the reconstructions based on the two mouse models in this part, the regularization parameter was set as 4×10 −2 , and the unknowns were uniformly initialized as zero. It is worth addressing that, based on the mouse atlas using other values of the regularization parameter and the initial unknown guess, the tomography results can be obtained with similar imaging quality as shown in Table 2.…”

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confidence: 99%

Tomographic bioluminescence imaging reconstruction via a dynamically sparse regularized global method in mouse models

Tian

Qin

et al. 2011

J. Biomed. Opt.

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Abstract. Generally, the performance of tomographic bioluminescence imaging is dependent on several factors, such as regularization parameters and initial guess of source distribution. In this paper, a global-inexact-Newton based reconstruction method, which is regularized by a dynamic sparse term, is presented for tomographic reconstruction. The proposed method can enhance higher imaging reliability and efficiency. In vivo mouse experimental reconstructions were performed to validate the proposed method. Reconstruction comparisons of the proposed method with other methods demonstrate the applicability on an entire region. Moreover, the reliable performance on a wide range of regularization parameters and initial unknown values were also investigated. Based on the in vivo experiment and a mouse atlas, the tolerance for optical property mismatch was evaluated with optical overestimation and underestimation. Additionally, the reconstruction efficiency was also investigated with different sizes of mouse grids. We showed that this method was reliable for tomographic bioluminescence imaging in practical mouse experimental applications. C 2011 Society of Photo-Optical Instrumentation Engineers (SPIE).

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“…28 In the FEM framework, the SP 3 model can be linearized and the following matrix-form equation can be obtained:…”

Section: Methods 21 Sp 3 Modelmentioning

confidence: 99%

Effective and robust approach for fluorescence molecular tomography based on CoSaMP and SP3 model

Guo

et al. 2016

J. Innov. Opt. Health Sci.

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Fluorescence molecular tomography (FMT) allows the detection and quanti¯cation of various biological processes in small animals in vivo, which expands the horizons of pre-clinical research and drug development. E±cient three-dimensional (3D) reconstruction algorithm is the key to accurate localization and quanti¯cation of°uorescent target in FMT. In this paper, 3D reconstruction of FMT is regarded as a sparse signal recovery problem and the compressive sampling matching pursuit (CoSaMP) algorithm is adopted to obtain greedy recovery of°uorescent signals. Moreover, to reduce the modeling error, the simpli¯ed spherical harmonics approximation to the radiative transfer equation (RTE), more speci¯cally SP 3 , is utilized to describe light propagation in biological tissues. The performance of the proposed reconstruction method is thoroughly evaluated by simulations on a 3D digital mouse model by comparing it with three representative greedy methods including orthogonal matching pursuit (OMP), stagewise OMP (StOMP), and regularized OMP (ROMP). The CoSaMP combined with SP 3 shows an improvement in reconstruction accuracy and exhibits distinct advantages over the comparative algorithms in multiple targets resolving. Stability analysis suggests that CoSaMP is robust to noise and performs stably with reduction of measurements. The feasibility and reconstruction accuracy of the proposed method are further validated by phantom experimental data.

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Spectrally resolved bioluminescence tomography with the third-order simplified spherical harmonics approximation

Cited by 38 publications

References 28 publications

Noninvasive bioluminescent imaging of primary patient acute lymphoblastic leukemia: a strategy for preclinical modeling

Noninvasive bioluminescent imaging of primary patient acute lymphoblastic leukemia: a strategy for preclinical modeling

Tomographic bioluminescence imaging reconstruction via a dynamically sparse regularized global method in mouse models

Effective and robust approach for fluorescence molecular tomography based on CoSaMP and SP3 model

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