2005
DOI: 10.1016/j.jqsrt.2004.05.062
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Numerical developments for short-pulsed Near Infra-Red laser spectroscopy. Part II: inverse treatment

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Cited by 46 publications
(19 citation statements)
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“…(6)) must be minimized under some constraints given by the radiative transfer equations for both the collimated and induced radiation. Those derivations are detailed in [19] and are not repeated here. After some algebra, gradients are explicitly given by…”
Section: Inversion Methodsmentioning
confidence: 99%
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“…(6)) must be minimized under some constraints given by the radiative transfer equations for both the collimated and induced radiation. Those derivations are detailed in [19] and are not repeated here. After some algebra, gradients are explicitly given by…”
Section: Inversion Methodsmentioning
confidence: 99%
“…The next section is dedicated to the presentation of the algorithm. The last section presents reconstructions as in [19] and the accuracy of the reconstruction is studied with respect to the new boundary conditions.…”
Section: Incident Directionmentioning
confidence: 99%
“…Second, in the case of some particular set-ups, such as inverse imaging, absorption and scattering may be recovered, providing not only structural but functional imaging such as identification of tissues or physiological changes due to pathology, e.g. [4,5]. Some applications of this new imaging method are presently in use and concern the monitoring of cerebral blood and tissue oxygenation [6].…”
Section: Introductionmentioning
confidence: 99%
“…The underlying principle of these techniques is to separate the photons which have followed a straight line in order to apply on them back-projection methods. The merits of direct imaging is the recovery of internal structure with the use of relatively simple theoretical and numerical techniques, while inverse imaging necessitates a complete field of measurements and a numerical definition of the problem (geometry, boundaries, meshing and light transport model) in order to allow the implementation of an inverse algorithm [4,5]. However as stated above, direct imaging is limited by the intense scattering in the thickness of the material, while inverse problems are able to take advantage of this by accessing the information embedded in the diffuse photons; it provides only structural images and needs to work only in straight transmission.…”
Section: Introductionmentioning
confidence: 99%
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