Diffuse optical tomography and fluorescence for tumour detection

Abstract : The Time-Resolved Diffuse Optical Tomography and Fluorescence (TR-DOTF) is a method to obtain optical properties information on diffusion and asbsorption of biological tissues. This Phd manuscript details this method state of the art and highlight the different possible path to reconstruct multidimensionnal 2D/3D images for the optical maps of the turbid medium. The project ultimate goal is to build a measurement instrument (tomograph), eventually portative, in order to detect tumours presence. The challenge is to obtain images with sufficient resolution to be used in medical environment for preclinical diagnosis. However the inverse problem ill-posedness makes the situation more difficult. The first part of this document is devoted to the problem modelization. In particular, we are interested to the diffusion approximation for the radiative transfer equation in a turbid medium. In a second part, we treat this problem from a mathematical point of view considering the diffusion problem coupled with fluorescence for two measurement types: contact and non-contact. Then we focus on the inverse prob- lem as a minimization problem for cost objective function solved by an adjoint method. Last, but not least, the third part of this document details the different numerical aspects involved to achieve an efficient reconstruction code using advanced technics from the high performance computing world.
Complete list of metadatas

Cited literature [155 references]  Display  Hide  Download

https://tel.archives-ouvertes.fr/tel-01875748
Contributor : Abes Star <>
Submitted on : Tuesday, June 25, 2019 - 9:53:23 AM
Last modification on : Wednesday, July 31, 2019 - 3:44:12 PM

File

dolle_guillaume_2018_ED269.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : tel-01875748, version 2

Collections

Citation

Guillaume Dollé. Diffuse optical tomography and fluorescence for tumour detection. Medical Imaging. Université de Strasbourg, 2018. English. ⟨NNT : 2018STRAD029⟩. ⟨tel-01875748v2⟩

Share

Metrics

Record views

64

Files downloads

46