Determination of depth of in vivo bioluminescent signals using spectral imaging techniques

Coquoz, Olivier; Troy, Tamara L.; Jekic-McMullen, Dragana; Rice, B. W.

doi:10.1117/12.477885

Cited by 26 publications

(20 citation statements)

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“…In addition to our above work, significant results on or related to BLT were also reported by a number of groups over past several years [16,17,[20][21][22][23][24][25]. Given the remarkable difficulties and high importance of this problem, BLT is attracting more and more researchers.…”

Section: Discussionsupporting

confidence: 49%

Recent Development in Bioluminescence Tomography

Wang¹,

Qian²,

Cong³

et al. 2006

CMIR

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Section: Discussionsupporting

confidence: 49%

Recent Development in Bioluminescence Tomography

Wang¹,

Qian²,

Cong³

et al. 2006

CMIR

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“…In this experiment, we assumed that the observed PC3M-Luc cells were tagged with firefly luciferase, and the cells emitted bioluminescent photons in the spectral range [500nm, 750nm] [12]. In view of current measurement technology, we could divide the whole emission spectrum into five regions with discrete steps of 50nm.…”

Section: Resultsmentioning

confidence: 99%

A Multi-Scale Method for Bioluminescence Tomography Using Multiple Types of a Priori Information

Hui

Yang

et al. 2007

2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro

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Bioluminescence tomography (BLT) is a novel in vivo technique which may reveal the molecular and cellular activity at the whole-body level in small animal studies. In order to reconstruct bioluminescence sources accurately, it is necessary to incorporate all types of a priori information available and develop novel reconstruction algorithms. In this paper, a multi-scale method is proposed for BLT based on adaptive finite element analysis. Specifically, multiple constraints, including multi-spectral measurements, anatomical and optical knowledge, are imposed to deal with the solution nonuniqueness of BLT. Also, adaptive finite element meshing and permissible source region refinement are utilized to help improve the reconstruction quality and speed. Finally, with the micro-MRI based virtual mouse phantom (MOBY) and the Monte Carlo based synthetic data, the feasibility and effectiveness of this BLT approach is demonstrated.Index Terms-Bioluminescence tomography (BLT), Finite element methods, adaptive meshing, knowledge-based reconstructioin

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“…At the present time, spectral analysis is the only methodology that can be considered to assess the absorption of photons by the variety of tissue present between the focus of light emission and the skin surface [8]. However, as yet, spectral analysis has been exploited mainly for depth location of photon emission allowing 3D imaging rather than for routine 2D quantitative bioluminescence.…”

Section: Introductionmentioning

confidence: 99%