Meeting Banner
Abstract #4419

Joint T1 and T2 Mapping with Tiny Dictionaries and Subspace-Constrained Reconstruction

Volkert Roeloffs1, Martin Uecker2,3, and Jens Frahm1,3

1Biomed NMR, Max Planck Institute for Biophysical Chemistry, Goettingen, Germany, 2Institute for Diagnostic and Interventional Radiology, University Medical Center Göttingen, Goettingen, Germany, 3partner site Göttingen, German Centre for Cardiovascular Research (DZHK), Goettingen, Germany

Dictionaries as used in multi-parametric mapping are typically very large in size, take long to compute, and scale exponentially with the number of parameters. Here, we break the bond between dictionary size and representation accuracy by two modifications: First, we approximate the Bloch-response manifold by piece-wise linear functions, and second, we allow the sampling grid to be refined adaptively depending on the precision needed. Phantom and in vivo studies demonstrate efficient multi-parametric mapping with tiny dictionaries and subspace-constrained reconstruction. The presented method preserves accuracy and precision with dictionaries reduced in size by a factor of 10 and beyond.

This abstract and the presentation materials are available to members only; a login is required.

Join Here