A time-domain wavelet-based approach for fluorescence diffuse optical tomography

被引:8
作者
Ducros, Nicolas [1 ,2 ,3 ,4 ,5 ,6 ]
Da Silva, Anabela [7 ,8 ,9 ]
Dinten, Jean-Marc [6 ]
Seelamantula, Chandra Sekhar [10 ]
Unser, Michael [11 ]
Peyrin, Francoise [2 ,3 ,4 ,5 ]
机构
[1] Politecn Milan, Dipartimento Fis, I-20133 Milan, Italy
[2] CNRS 5220, CREATIS, F-69621 Villeurbanne, France
[3] INSERM, U630, F-69621 Villeurbanne, France
[4] Univ Lyon 1, F-69621 Villeurbanne, France
[5] Inst Natl Sci Appl, F-69621 Villeurbanne, France
[6] CEA LETI MINATEC, F-38054 Grenoble, France
[7] CNRS, Inst Fresnel, F-13397 Marseille, France
[8] Ecole Cent Marseille, F-13397 Marseille, France
[9] Univ Marseille, F-13397 Marseille, France
[10] Indian Inst Sci, Dept Elect Engn, Bangalore 560012, Karnataka, India
[11] Ecole Polytech Fed Lausanne, Biomed Imaging Grp, CH-1015 Lausanne, Switzerland
关键词
fluorescence diffuse optical tomography; time-resolved imaging; data features; wavelets; multiresolution; LEAST-SQUARES RECONSTRUCTION; IMAGE-RECONSTRUCTION; TEMPORAL MOMENTS; PROPAGATION; SCATTERING; EQUATION; SYSTEM; TISSUE; FLIGHT; LIGHT;
D O I
10.1118/1.3431571
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose: In the context of fluorescence diffuse optical tomography, determining the optimal way to exploit the time-resolved information has been receiving much attention and different features of the time-resolved signals have been introduced. In this article, the authors revisit and generalize the notion of feature, considering the projection of the measurements onto some basis functions. This leads the authors to propose a novel approach based on the wavelet transform of the measurements. Methods: A comparative study between the reconstructions obtained from the proposed wavelet-based approach and the reconstructions obtained from the reference temporal moments is provided. An inhomogeneous cubic medium is considered. Reconstructions are performed from synthetic measurements assuming Poisson noise statistics. In order to provide fairly comparable reconstructions, the reconstruction scheme is associated with a particular procedure for selecting the regularization parameter. Results: In the noise-free case, the reconstruction quality is shown to be mainly driven by the number of selected features. In the presence of noise, however, the reconstruction quality depends on the type of the features. In this case, the wavelet approach is shown to outperform the moment approach. While the optimal time-resolved reconstruction quality, which is obtained considering the whole set of time samples, is recovered using only eight wavelet functions, it cannot be attained using moments. It is finally observed that the time-resolved information is of limited utility, in terms of reconstruction, when the maximum number of detected photons is lower than 10(5). Conclusions: The wavelet approach allows for better exploiting the time-resolved information, especially when the number of detected photons is low. However, when the number of detected photons decreases below a certain threshold, the time-resolved information itself is shown to be of limited utility. (C) 2010 American Association of Physicists in Medicine. [DOI: 10.1118/1.3431571]
引用
收藏
页码:2890 / 2900
页数:11
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