Reducing View-sharing artifacts in dynamic Contrast-Enhanced Magnetic Resonance Angiography using Compressed Sensing
Stanislas Rapacchi 1 , Yutaka Natsuaki 2 , Gerhard Laub 2 , John Paul Finn 1 , and Peng Hu 1
Radiology, UCLA, Los Angeles, California,
Healthcare, Los Angeles, California, United States
In this work, we aim to study the temporal and spatial
blurring effect of view-sharing on dynamic CE-MRA using
phantom and in vivo clinical data and its impact on the
assessment of blood vessels. Furthermore we propose to
reduce artifacts and improve the accuracy of dynamic CE-MRA
by limiting the use of view-sharing and reconstruct
under-sampled k-spaces with compressed sensing enhanced
with parallel imaging.
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