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Abstract #1066

ABRICOTINE MRI: Enhancing Sparsity Across the Three Dimensions of the Fourier Domain in Cartesian Sampling

Antoine Klauser1,2, Gian Franco Piredda 1,2, Thomas Yu1,3,4, Patrick Alexander Liebig5, Roberto Martuzzi 6, Tobias Kober1,3,4, and Tom Hilbert1,3,4
1Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland, 2Center for Biomedical Imaging (CIBM), Geneva, Switzerland, 3Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 4LTS5, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 5Siemens Healthcare GmbH, Erlangen, Germany, 6Human Neuroscience Platform, Fondation Campus Biotech Geneva, Geneva, Switzerland

Synopsis

Keywords: New Trajectories & Spatial Encoding Methods, Sparse & Low-Rank Models, Sparse sampling

Motivation: With the increasing demand for high-resolution and short MRI exams, especially at high and ultra-high field, there is a need for fast acquisition techniques.

Goal(s): To improve highly accelerated compressed-sensing by introducing a novel sampling named Alternating Basis Readout Imaging with COmpressed$$$\,$$$sensing with Three-dImensioNal Encoding (ABRICOTINE).

Approach: ABRICOTINE incorporates sparse phase-encoding in three orthogonal directions, achieving true three-dimensional undersampling of the Fourier domain. This differs from conventional compressed$$$\,$$$sensing, which only undersamples within two phase-encoding dimensions.

Results: We demonstrate significant enhancements in brain image quality through both simulations and true ABRICOTINE-accelerated acquisitions. It surpasses conventional compressed$$$\,$$$sensing methods and enables 0.5mm isotropic imaging in 4min.

Impact: ABRICOTINE allows for a substantial improvement in compressed-sensing acceleration compared to traditional sparse sampling techniques, especially when high acceleration factors are required. It thus shows great potential for further accelerating high resolution MRI acquisitions.

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Keywords