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Abstract #0546

Highly Efficient Respiratory Motion Compensated Free-Breathing Coronary MRA Using Golden-Step Cartesian Acquisition

Claudia Prieto1, 2, Mariya Doneva3, Muhammad Usman1, Rene M. Botnar1, Tobias Schaeffter1

1Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom; 2Escuela de Ingenieria, Pontificia Universidad Catolica de Chile, Santiago, Chile; 3Philips Research Europe, Hamburg, Germany


A 3D respiratory motion-corrected reconstruction approach for whole-heart coronary MRA is proposed. This approach achieves 100% scan efficiency by correcting all acquired data directly in the reconstruction after image-based registration of high-resolution undersampled reconstructed data. This is achieved by using a golden-step spiral-like Cartesian acquisition. This phase-encoding scheme ensures a quasi-uniform sampling for any respiratory window and at any breathing position. Motion parameters are estimated from undersampled respiratory-resolved images reconstructed with iterative SENSE and 3D motion correction is performed directly in the reconstruction using a multiple-coils generalized matrix formulation approach. The proposed approach achieves high image quality comparable to that of an 8mm navigator-gated acquisition, which is less efficient.

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