Meeting Banner
Abstract #1521

k-t Rank Separation Reconstruction for non-Cartesian parallel fMRI

Fei Wang1, Juergen Hennig1, and Pierre LeVan1

1Department of Radiology, Medical Physics, Medical Center - University of Freiburg, Freiburg, Germany

Low-rank sparse (L-S)-reconstruction has been successfully applied to k-t-accelerated applications like cardiac cine imaging. We propose a novel way of k-t rank separation for the reconstruction of non-Cartesian parallel fMRI. Instead of reconstructing the fMRI images separately, the proposed method reconstructs images jointly. This method extracts temporal signal variation information from k-t space directly, thus exactly preserving dynamic information. The results show a higher dynamic signal recovery rate and shorter reconstruction time.

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

Join Here