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Abstract #1083

Clinical Experience of Acquiring Both High Spatial and High Temporal Resolution Breast Dynamic Datasets Utilising a Differential Subsampling with Cartesian Ordering k-space Acquisition Scheme

Martin D Pickles 1 , Dan W Rettmann 2 , Kang Wang 3 , and Lindsay W Turnbull 1

1 Centre for Magnetic Resonance Investigations, Hull York Medical School at University of Hull, Hull, East Yorkshire, United Kingdom, 2 Global MR Applications and Workflow, GE Healthcare, Rochester, MN, United States, 3 Global MR Applications and Workflow, GE Healthcare, Madison, WI, United States

The aim of this work is to report initial clinical experience of DIfferential Subsampling with Cartesian Ordering (DISCO) dynamic breast examinations. In DISCO k-space is divided into central and outer portions. The outer portion of k-space is segmented into a number of equal distributions regions via a pseudo-random segmentation scheme. The central portion of k-space is sampled every temporal frame while the outer edges are subsampled sequentially. Temporal resolution is minimised by implementing view-sharing. The results of this work demonstrate that by utilising DISCO both high spatial and high temporal resolution dynamic sequences are possible.

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