Meeting Banner
Abstract #0873

Simultaneous multi-modality/multi-contrast image reconstruction with nuclear-norm TGV

Florian Knoll1, Martin Holler2, Thomas Koesters1, Martijn Cloos1, Ricardo Otazo1, Kristian Bredies2, and Daniel K Sodickson1

1Center for Advanced Imaging Innovation and Research (CAI2R) and Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU School of Medicine, New York, NY, United States, 2Mathematics and Scientific Computing, University of Graz, Graz, Austria

A typical clinical imaging protocol covers a large number of different image contrasts and, in the era of multi-modality systems, even different imaging modalities. While the resulting datasets share a substantial amount of structural information, they consist of fundamentally different contrasts and signal values and show unique features and image content. We propose a reconstruction framework based on nuclear-norm second-order Total Generalized Variation that exploits structural similarity both between different contrasts and modalities while still being flexible with respect to signal intensity and unique features. Numerical simulations and in vivo MR-Fingerprinting experiments demonstrate improved PET resolution and improved depiction of quantitative values. The proposed approach allows a 6 minute whole brain coverage exam that provides both quantitative PET and MR-relaxation parameters.

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

Join Here