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Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring
Published on: December 9, 2010
Kelvin J Layton1, Daniel Gallichan, Frederik Testud
1Department of Electrical and Electronic Engineering, The University of Melbourne, Melbourne, Australia; National ICT Australia, Melbourne, Australia.
This study introduces an automated method to design magnetic resonance imaging (MRI) trajectories for improved local resolution. The technique optimizes k-space paths for enhanced imaging in specific regions of interest.
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