Abstract #1159

Cartesian vs. non-cartesian under-sampling for high resolution 3D double echo steady state (DESS) knee imaging at 7 T

Thomas Marth^1,2,3, Adrian Alexander Marth^2,3, Georg Wilhelm Kajdi^2,3, Dominik Paul⁴, Reto Sutter^2,3, Daniel Nanz^1,3, and Constantin von Deuster^1,5

¹Swiss Center for Musculoskeletal Imaging, Balgrist Campus AG, Zurich, Switzerland, ²Department of Radiology, Balgrist University Hospital, Zurich, Switzerland, ³Medical Faculty, University of Zurich, Zurich, Switzerland, ⁴Siemens Healthineers AG, Forchheim, Germany, ⁵Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Zurich, Switzerland

Synopsis

Keywords: Joint, High-Field MRI, DESS, double echo steady state, cartilage, knee, Compressed Sensing, CAIPIRINHA, 7-T, ultra high field

Motivation: Double-echo-steady-state (DESS) is an attractive 3D sequence for musculoskeletal imaging at 7T, facilitating isotropic high-resolution knee cartilage imaging. Long acquisitions necessitate advanced undersampling techniques with high acceleration factors, while the optimal scheme and its limits are unknown.

Goal(s): Compare image quality (IQ) of cartesian and non-cartesian undersampling with up to 30-fold acceleration (R).

Approach: IQ evaluation in DESS images of 40 knees acquired with varying undersampling factors (R=4-30) and schemes (GRAPPA, CAIPIRINHA, Compressed Sensing (CS)) at 7T. Imaging data were reconstructed with a deep-learning (DL) algorithm.

Results: 16-fold CS (01:12min:sec) showed no significant IQ difference to 4-fold GRAPPA (5:22min:sec) and 8-fold CAIPIRINHA (2:22min:sec).

Impact: The results suggest significant advantages of non-cartesian versus cartesian undersampling strategies in DESS imaging with high acceleration factors at 7T. The short acquisition times may allow clinical high-resolution 3D knee cartilage imaging, e.g., for quantification of cartilage morphology.

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