2007
DOI: 10.1364/ao.46.004896
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Noncontact fluorescence diffuse optical tomography of heterogeneous media

Abstract: Fluorescence-enhanced diffuse optical tomography is expected to be useful to the collection of functional information from small animal models. This technique is currently limited by the extent of tissue heterogeneity and management of the shape of the animals. We propose an approach based on the reconstruction of object heterogeneity, which provides an original solution to the two problems. Three evaluation campaigns are described: the first two were performed on phantoms designed to test the reconstructions … Show more

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Cited by 72 publications
(63 citation statements)
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“…However, background optical heterogeneity correction using recovered optical property map from DOT is demonstrated to provide much better accuracy than the Born normalization method. 38 Our study also confirms that better quantitative accuracy is achieved when the absorption and scattering maps of the medium are reconstructed from DOT and used in FT reconstruction. Perhaps in most small animal imaging applications, the Born normalization method is sufficient to correct background optical heterogeneity in FT reconstruction.…”
Section: Resultssupporting
confidence: 79%
“…However, background optical heterogeneity correction using recovered optical property map from DOT is demonstrated to provide much better accuracy than the Born normalization method. 38 Our study also confirms that better quantitative accuracy is achieved when the absorption and scattering maps of the medium are reconstructed from DOT and used in FT reconstruction. Perhaps in most small animal imaging applications, the Born normalization method is sufficient to correct background optical heterogeneity in FT reconstruction.…”
Section: Resultssupporting
confidence: 79%
“…This coefficient is then used to reconstruct the fluorophore distribution. 12,13 Another approach involves combining previously published values for tissue-specific optical parameters with high-resolution anatomical information provided by CT or MRI; however, there is no consensus in the literature on the actual values of tissue-specific optical parameters, and considerable inter-subject variability is reported. 14 An alternative approach 15 simplifies the problem by assuming homogeneous optical properties and normalizing fluorescence photon density to excitation photon density following the so-called normalized Born approximation.…”
Section: Introductionmentioning
confidence: 99%
“…This results in a linear forward model [21], which is the context of the present paper. A number of methods that include regularization have been studied for linear reconstruction in optical tomography; the Kaczmarz method (ART) with an appropriate stopping criterion, the filtered singular value decomposition and Tikhonov regularization [22]- [25]. In this contribution, we propose general regularization as a new regularization technique for the reconstruction of fluorescence data, together with an optimization method developed specifically for regularization.…”
Section: Introductionmentioning
confidence: 99%