Article

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

ABSTRACT 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.

0 Followers
 · 
82 Views
  • Source
    • "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. "
    [Show abstract] [Hide abstract]
    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 · 2.92 Impact Factor
  • Source
    • "A more recent trend has been to exploit some global features of the time-resolved signals [4] [5] [6]. In particular , researchers have investigated the use of the Laplace transform [4] as well as the moments of the TR fluorescence signals [5] [6]. However, there is still a crucial need to optimize and compress the extra information provided by the TR signals. "
    [Show abstract] [Hide abstract]
    ABSTRACT: This paper deals with the problem of time-resolved fluorescence diffuse optical tomography. We propose a new reconstruction scheme based on a multi-resolution approximation of the time-resolved signals. The underlying basis functions are exponential B-splines that are matched to the decay of fluorescence signals. We illustrate the applicability of the method on phantom data.
    Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28 - July 1, 2009; 01/2009
  • Source
    • "More recently, the trend is to exploit signatures of full timeresolved fluorescence signals [6], [7], [8]. Among them, the Laplace transform of the TR fluorescence signals [7] and the temporal moments of the fluorescence signals have been investigated by several authors [8] [9] [10]. The moments are of particular interest since they allow a physical interpretation in terms of number of photons, time of flight, variance, etc. "
    [Show abstract] [Hide abstract]
    ABSTRACT: The present paper is devoted to a comparison between time- resolved fluorescence diffuse optical tomography and continuous wave fluorescence diffuse optical tomography. Both of these techniques aim at reconstructing 3D biodistribution of fluorescent markers embedded in biological tissues. The study is restricted in the time domain to the exploitation of the first three temporal moments of measurements. The temporal benefits in terms of reconstruction have been shown to depend strongly on the optical parameters of the medium investigated as well as the fluorescence lifetime.
    Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on; 06/2008
Show more