High-resolution three-dimensional (3D) cardiovascular magnetic resonance (CMR) is a valuable medical imaging technique, but its widespread application in clinical practice is hampered by long acquisition times. In this talk, we present a novel compressed sensing (CS) reconstruction approach based on an iterative reweighting procedure using shearlets as a sparsifying transform allowing for fast 3D CMR (3DShearCS).

This presentation is part of Minisymposium “MS69 - Anisotropic multi scale methods and biomedical imaging”
organized by: Davide Barbieri (Universidad Autonoma de Madrid) , Demetrio Labate (University of Houston) .

Authors:

Gitta Kutyniok (Technische Universität Berlin)

Jackie Ma (Fraunhofer Institute for Telecommunications–Heinrich Hertz Institute)

Maximilian März (Technische Universität Berlin)

Stephanie Funk (Charite)

Jeanette Schulz-Menger (Charite)

Tobias Schaeffter (Physikalisch-Technische Bundesanstalt)

Christoph Kolbitsch (Physikalisch-Technische Bundesanstalt)

Keywords:

image reconstruction, image representation, inverse problems