Abstract #4198

Entangled Compressed Sensing for Highly Accelerated 4D Flow MRI

Adrian Emmanuel Georg Huber¹, Christian Binter¹, Claudio Santelli¹, and Sebastian Kozerke¹

¹Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland

Entangled denoising (eSPARSE) was developed for highly undersampled 4D Flow MRI, combining both k-t SPARSE-SENSE and 3D-L1-Wavelets. Undersampling factors of 8 and 10 were studied in healthy volunteers. The proposed algorithm improves the reconstruction of fluid vector fields in the aorta compared to k-t SPARSE-SENSE. The relative RMSE velocity is reduced by up to 16% for an undersampling rate of R = 8 and by up to 19% for R = 10. Entangled denoising (eSPARSE) is a promising approach to accelerate 4D Flow MRI while preserving key features of the flow field.

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