Meeting Banner
Abstract #3722

Model-Based Super-Resolution Reconstruction of T2 Maps

Tom Hilbert1,2,3, Jose P Marques4, Jean-Philippe Thiran2,3, Reto Meuli2, Gunnar Krueger2,3,5, and Tobias Kober1,2,3

1Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 2Department of Radiology, University Hospital (CHUV), Lausanne, Switzerland, 3LTS5, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 4Donders Institute, Radboud University, Nijmegen, Netherlands, 5Siemens Medical Solutions USA, Inc., Boston, MA, United States

We propose an algorithm that can reconstruct 0.9mm3 isotropic T2 maps based on multiple 2D multi-echo spin-echo acquisitions that were highly undersampled. The data is reconstructed by combining a classical super-resolution approach with an iterative model-based reconstruction. Thereby, the reconstruction problem is split into multiple sub-problems to improve the convergence of the algorithm. Resulting T2 values within structures of the midbrain and the hippocampus from four healthy volunteers showed good reproducibility. This kind of high-resolution relaxometry may enable additional insight in pathologies of small brain structures and increased sensitivity to disease-induced changes.

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

Join Here