Dynamic MRI reconstruction from undersampled data with an anatomical prescan

Beitrag in einer Fachzeitschrift


Details zur Publikation

Autorinnen und Autoren: Burger M
Zeitschrift: Inverse Problems
Verlag: IOP PUBLISHING LTD
Jahr der Veröffentlichung: 2018
Band: 34
Heftnummer: 7
ISSN: 0266-5611


Abstract

The goal of dynamic magnetic resonance imaging (dynamic MRI) is to visualize tissue properties and their local changes over time that are traceable in the MR signal. We propose a new variational approach for the reconstruction of subsampled dynamic MR data, which combines smooth, temporal regularization with spatial total variation regularization. In particular, it furthermore uses the infimal convolution of two total variation Bregman distances to incorporate structural a priori information from an anatomical MRI prescan into the reconstruction of the dynamic image sequence. The method promotes the reconstructed image sequence to have a high structural similarity to the anatomical prior, while still allowing for local intensity changes which are smooth in time. The approach is evaluated using artificial data simulating functional magnetic resonance imaging (fMRI), and experimental dynamic contrast-enhanced magnetic resonance data from small animal imaging using radial golden angle sampling of the k-space.


FAU-Autorinnen und Autoren / FAU-Herausgeberinnen und Herausgeber

Burger, Martin Prof. Dr.
Lehrstuhl für Angewandte Mathematik (Modellierung und Numerik)

Zuletzt aktualisiert 2019-15-02 um 08:08