UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Fitting a spectral model for component analysis in diffuse optical tomography

Di Sciacca, G; Ferocino, E; Farina, A; Pifferi, A; Taroni, P; Arridge, S; (2019) Fitting a spectral model for component analysis in diffuse optical tomography. In: Progress in Biomedical Optics and Imaging - Proceedings of SPIE. SPIE Green open access

[thumbnail of 1107426.pdf]
Preview
Text
1107426.pdf - Published Version

Download (307kB) | Preview

Abstract

Time Domain Diffuse Optical Tomography (TD-DOT) at different wavelengths can be used to retrieve tissue reconstructing the components of a two-region system starting from self-normalized time-dependent measurements performed in reflectivity geometry over multiple wavelengths. The proposed method performs a fit of a limited number of tissues parameters providing a good quantification of the components’ concentrations by applying a FEM-based Diffusion approximation of the TD-DOT direct model.

Type: Proceedings paper
Title: Fitting a spectral model for component analysis in diffuse optical tomography
ISBN-13: 9781510628410
Open access status: An open access version is available from UCL Discovery
DOI: 10.1117/12.2527119
Publisher version: https://doi.org/10.1117/12.2527119
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Finite Element Method, Diffusion Equation, FEM, TD-DOT, Spectral Fit
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10089176
Downloads since deposit
79Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item