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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