A linear, featured-data scheme for image reconstruction in time-domain fluorescence molecular tomography

College of Precision Instrument and Optoeletronics Engineering, Tianjin University, Tianjin 300072, China.
Optics Express (Impact Factor: 3.49). 09/2006; 14(16):7109-24. DOI: 10.1364/OE.14.007109
Source: PubMed


Fluorescence diffuse optical tomography (DOT) has attracted many attentions from the community of biomedical imaging, since it provides effective enhancement in imaging contrast. This modality is now rapidly evolving as a potential means of monitoring molecular events in small living organisms with help of molecule-specific contrast agents, referred to as fluorescence molecular tomography (FMT). FMT could greatly promote pathogenesis research, drug development, and therapeutic intervention. Although FMT in steady-state and frequency-domain modes have been heavily investigated, the extension to time-domain scheme is imminent for its several unique advantages over the others. By extending the previously developed generalized pulse spectrum technique for time-domain DOT, we propose a linear, featured-data image reconstruction algorithm for time-domain FMT that can simultaneously reconstruct both fluorescent yield and lifetime images of multiple fluorophores, and validate the methodology with simulated data.

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    • ", on the assumption that the influence of the agent absorption on the photon migration can be neglected [38] "
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    ABSTRACT: A combined time-domain fluorescence and hemoglobin diffuse optical tomography (DOT) system and the image reconstruction methods are proposed for enhancing the reliability of breast-dedicated optical measurement. The system equipped with two pulsed laser diodes at wavelengths of 780 nm and 830 nm that are specific to the peak excitation and emission of the FDA-approved ICG agent, and works with a 4-channel time-correlated single photon counting device to acquire the time-resolved distributions of the light re-emissions at 32 boundary sites of tissues in a tandem serial-to-parallel mode. The simultaneous reconstruction of the two optical (absorption and scattering) and two fluorescent (yield and lifetime) properties are achieved with the respective featured-data algorithms based on the generalized pulse spectrum technique. The performances of the methodology are experimentally assessed on breast-mimicking phantoms for hemoglobin- and fluorescence-DOT alone, as well as for fluorescence-guided hemoglobin-DOT. The results demonstrate the efficacy of improving the accuracy of hemoglobin-DOT based on a priori fluorescence localization.
    Biomedical Optics Express 02/2013; 4(2):331-48. DOI:10.1364/BOE.4.000331 · 3.65 Impact Factor
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    • "To date, much work relating to TD fluorescent modeling has been done; however, they are mostly centered on 2D light transport models (Gao et al 2006, 2008), and most have been developed for FD systems (Jiang 1998, Lee and Sevick-Muraca 2002). The algorithms and techniques presented in this paper are developed for three-dimensional (3D) fluorescent models using finite element models (FEM) for TD propagation of NIR light in turbid media. "
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    ABSTRACT: In this work, development and evaluation of a three-dimensional (3D) finite element model (FEM) based on the diffusion approximation of time-domain (TD) near-infrared fluorescence light transport in biological tissue is presented. This model allows both excitation and fluorescence temporal point-spread function (TPSF) data to be generated for heterogeneous scattering and absorbing media of arbitrary geometry. The TD FEM is evaluated via comparisons with analytical and Monte Carlo (MC) calculations and is shown to provide a quantitative accuracy which has less than 0.72% error in intensity and less than 37 ps error for mean time. The use of the Born-Ratio normalized data is demonstrated to reduce data mismatch between MC and FEM to less than 0.22% for intensity and less than 22 ps in mean time. An image reconstruction framework, based on a 3D FEM formulation, is outlined and simulation results based on a heterogeneous mouse model with a source of fluorescence in the pancreas is presented. It is shown that using early photons (i.e. the photons detected within the first 200 ps of the TPSF) improves the spatial resolution compared to using continuous-wave signals. It is also demonstrated, as expected, that the utilization of two time gates (early and latest photons) can improve the accuracy both in terms of spatial resolution and recovered contrast.
    Physics in Medicine and Biology 11/2011; 56(23):7419-34. DOI:10.1088/0031-9155/56/23/006 · 2.76 Impact Factor
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    • "This drawback could prevent its application to FDOT for which the number of detected photons – and thus the SNR – is quite low. Alternative features such as Laplace transform (Gao et al., 2006), full width at half maximum, peak value, time at peak value (Riley et al., 2007) or number of photons within time windows (Grosenick et al., 2005) have been proposed. Further comparative studies still have to be engaged to determine if such features could overcome the limitations identified in this study. "
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    ABSTRACT: This paper addresses the inverse problem of time-resolved (fluorescence) diffuse optical tomography from temporal moments of the measurements. A methodology that enables one to provide fairly comparable reconstructions is presented. The proposed reconstruction methodology is applied to infinite medium synthetic phantoms in the transmission geometry. Reconstructions are performed for moment orders increasing from 0 to 3. The reconstruction quality is shown to be increasing when higher moment orders are added. However, the value of the highest useful moments order strongly depends on the number of photons that can be acquired. In particular, it can be considered that the benefit of using higher order moments vanishes when fewer than 10(8) photons are detected. The evolution of the reconstruction quality with respect to the optical properties of the medium and fluorescence lifetime is also shown.
    Physics in Medicine and Biology 11/2009; 54(23):7107-19. DOI:10.1088/0031-9155/54/23/005 · 2.76 Impact Factor
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