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Abstract #0819

Fat quantification using a phase error-corrected cartesian acquisition with spiral profile ordering (CASPR)

Philipp Braun1, Jonathan Stelter1, Stefan Ruschke1, Johannes M. Peeters2, Holger Eggers3, Kilian Weiss4, Daniela Junker1, and Dimitrios C. Karampinos1
1School of Medicine and Health, Technical University of Munich, Munich, Germany, 2Philips Healthcare, Best, Netherlands, 3Philips Healthcare, Hamburg, Germany, 4Philips GmbH Market DACH, Hamburg, Germany

Synopsis

Keywords: Quantitative Imaging, Fat and Fat/Water Separation, liver

Motivation: Complex-based fat quantification techniques are sensitive to phase errors and motion, particularly in free-breathing acquisitions.

Goal(s): To develop a phase-corrected time-interleaved multi-echo gradient echo (TIMGRE) technique employing a cartesian spiral profile ordering (CASPR) for robust fat quantification, while exploring the flexibility and self-gating capabilities of the trajectory.

Approach: A framework was developed for correcting eddy current and concomitant gradient phase errors in a TIMGRE-CASPR acquisition at 3T. Validation was conducted in a large-FOV water phantom, a water-fat phantom and in vivo.

Results: Phase correction for a monopolar time-interleaved six-echo CASPR enables quantitative water-fat mapping inside motion-affected areas such as the liver.

Impact: Prior studies have established the CASPR trajectory as an efficient and easily customizable trajectory with self-gating motion capabilities. This work is the first to use the CASPR trajectory for fat quantification, while simultaneously addressing phase error effects.

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