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3D near-infrared imaging based on a single-photon avalanche diode array sensor: A new perspective on reconstruction algorithms

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Edoardo Charbon, Juan Mata Pavia, Bastien Wolf
2012

Résumé

Recently, we demonstrated the potential of single-photon i magers in diffuse optical tomography (DOT). We present the advances of a new algorithm based on optical setups using this kind of sensors.

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https://infoscience.epfl.ch/entities/publication/2e706c29-d708-4388-8c24-cb2d61de54b9

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Concepts associés (17)

Tomographic reconstruction

Tomographic reconstruction is a type of multidimensional inverse problem where the challenge is to yield an estimate of a specific system from a finite number of projections. The mathematical basis for tomographic imaging was laid down by Johann Radon. A notable example of applications is the reconstruction of computed tomography (CT) where cross-sectional images of patients are obtained in non-invasive manner.

Iterative reconstruction

Iterative reconstruction refers to iterative algorithms used to reconstruct 2D and 3D images in certain imaging techniques. For example, in computed tomography an image must be reconstructed from projections of an object. Here, iterative reconstruction techniques are usually a better, but computationally more expensive alternative to the common filtered back projection (FBP) method, which directly calculates the image in a single reconstruction step.

Spectroscopie dans l'infrarouge proche

La spectroscopie dans l'infrarouge proche (ou dans le proche infrarouge, SPIR), souvent désignée par son sigle anglais NIRS (near-infrared spectroscopy), est une technique de mesure et d'analyse des spectres de réflexion dans la gamme de longueurs d'onde (l'infrarouge proche). Cette technique est largement utilisée dans les domaines de la chimie (polymères, pétrochimie, industrie pharmaceutique), de l’alimentation, de l’agriculture ainsi qu'en planétologie. À ces longueurs d’onde, les liaisons chimiques qui peuvent être analysées sont C-H, O-H et N-H.

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