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Abstract #2811

A Matrix Completion-Based Reconstruction of In Vivo Eye Images from Undersampled Cartesian 7T MRF Data

Kirsten Koolstra1, Andrew Webb1, Jan-Willem Beenakker1,2, Peter Koken3, Mariya Doneva3, and Peter Börnert1,3

1Radiology, Leiden University Medical Center, Leiden, Netherlands, 2Ophthalmology, Leiden University Medical Center, Leiden, Netherlands, 3Philips Research Hamburg, Hamburg, Germany

Eye motion is the main challenge in ocular MRF scans. To achieve good MRF image quality on one side and to improve patient comfort on the other side, scan times need to be reduced. In this single-channel coil approach with Cartesian sampling, high undersampling can be supported by using the appropriate reconstruction approach. In this work, a matrix completion-based reconstruction was adopted. Resulting parameter maps are compared to maps obtained after a compressed sensing reconstruction, showing that for matrix completion even much greater undersampling factors result in more accurate parameter maps.

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