Object localization within turbid slab media using time-resolved transillumination contrast functions: a finite element approach

Piron, V.; L’Huillier, Jean-Pierre; Mansouri, C.

doi:10.1364/ecbo.2007.6628_32

Cited by 2 publications

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“…The short laser pulse passes through the tissue and spreads in time due to scattering, which deviates the photons' path within the media. Photons take a much longer path causing a temporal shift and broadening of pulse [69][70][71][72][73]. The detection electronics are based on photon counting at a particular point of the sample with sensitivity at a single-photon level.…”

Section: Diffuse Optical Tomography (Dot)mentioning

confidence: 99%

Tutorial on the Use of Deep Learning in Diffuse Optical Tomography

et al. 2022

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Diffuse optical tomography using deep learning is an emerging technology that has found impressive medical diagnostic applications. However, creating an optical imaging system that uses visible and near-infrared (NIR) light is not straightforward due to photon absorption and multi-scattering by tissues. The high distortion levels caused due to these effects make the image reconstruction incredibly challenging. To overcome these challenges, various techniques have been proposed in the past, with varying success. One of the most successful techniques is the application of deep learning algorithms in diffuse optical tomography. This article discusses the current state-of-the-art diffuse optical tomography systems and comprehensively reviews the deep learning algorithms used in image reconstruction. This article attempts to provide researchers with the necessary background and tools to implement deep learning methods to solve diffuse optical tomography.

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Section: Diffuse Optical Tomography (Dot)mentioning

confidence: 99%

Tutorial on the Use of Deep Learning in Diffuse Optical Tomography

et al. 2022

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“…The FEM proceeds following the Galerkin formulation in order to spatially resolve the problem, and to an implicit finite difference scheme, backward Euler type 9,16 . Such problems need an optimization of the numerical procedure because such structural details can be lost if the mesh size or time-step are too large.…”

Section: Theoretical Statementmentioning

confidence: 99%

Resolution limits between objects embedded in breast-like slab using the optical frequency-domain method: a numerical approach

Piron

L’Huillier

2011

SPIE Proceedings

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a vianney.piron@ensam.eu; phone: +33 (0)2 41 20 73 73 P423; fax: +33 (0)2 41 20 73 50 b jean-pierre.lhuillier@ensam.eu; phone: +33 (0)2 41 20 73 85; ABSTRACTOptical methods allow investigating biological tissue noninvasively without ionizing radiations. Moreover, considering low absorption processes in the tissue in the near-infrared wavelengths range, biological tissue can be deeply investigated. In this field, we studied the resolution limits of the detection of one and two tumour-like heterogeneities embedded in the middle plane of a slab that mimics a breast enclosed between two transparent plates. We used the diffusion equation in order to model the photons propagation in such slab. It is solved in the time-domain by means of a finite element method. We computed time-resolved trans-illumination data based on lateral scan of the slab. The timedependent transmitted light, received at the opposite of the source, was transformed in the frequency-domain and the modulation and phase-shift of the signal are then obtained. The resulting phase-shift considering the embedded objects was analyzed versus the distance between the objects. Then, the resolution limits were estimated considering different modulation frequencies and a noise level. The overall combinations took into account a set of optical properties that mimics realistic optical properties for healthy breast tissue and tumours.

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Object localization within turbid slab media using time-resolved transillumination contrast functions: a finite element approach

Cited by 2 publications

References 0 publications

Tutorial on the Use of Deep Learning in Diffuse Optical Tomography

Tutorial on the Use of Deep Learning in Diffuse Optical Tomography

Resolution limits between objects embedded in breast-like slab using the optical frequency-domain method: a numerical approach

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