Your browser doesn't support javascript.
loading
(An overview of) Synergistic reconstruction for multimodality/multichannel imaging methods.
Arridge, Simon R; Ehrhardt, Matthias J; Thielemans, Kris.
Afiliación
  • Arridge SR; Department of Computer Science, University College London, London, UK.
  • Ehrhardt MJ; Department of Mathematical Sciences, University of Bath, Bath, UK.
  • Thielemans K; Institute for Mathematical Innovation, University of Bath, Bath, UK.
Philos Trans A Math Phys Eng Sci ; 379(2200): 20200205, 2021 Jun 28.
Article en En | MEDLINE | ID: mdl-33966461
ABSTRACT
Imaging is omnipresent in modern society with imaging devices based on a zoo of physical principles, probing a specimen across different wavelengths, energies and time. Recent years have seen a change in the imaging landscape with more and more imaging devices combining that which previously was used separately. Motivated by these hardware developments, an ever increasing set of mathematical ideas is appearing regarding how data from different imaging modalities or channels can be synergistically combined in the image reconstruction process, exploiting structural and/or functional correlations between the multiple images. Here we review these developments, give pointers to important challenges and provide an outlook as to how the field may develop in the forthcoming years. This article is part of the theme issue 'Synergistic tomographic image reconstruction part 1'.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Interpretación de Imagen Asistida por Computador / Imagen Multimodal Tipo de estudio: Diagnostic_studies / Health_economic_evaluation / Prognostic_studies Límite: Humans Idioma: En Revista: Philos Trans A Math Phys Eng Sci Asunto de la revista: BIOFISICA / ENGENHARIA BIOMEDICA Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Interpretación de Imagen Asistida por Computador / Imagen Multimodal Tipo de estudio: Diagnostic_studies / Health_economic_evaluation / Prognostic_studies Límite: Humans Idioma: En Revista: Philos Trans A Math Phys Eng Sci Asunto de la revista: BIOFISICA / ENGENHARIA BIOMEDICA Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido