Abstract
Introduction For dynamic MRI, in order to balance the tradeoff between spatial resolution and temporal resolution, one strategy is to reduce data sampling at every time frame and add constraints to compensate for the information loss [14]. Here a temporal constraint was applied to reconstruct the carotid artery velocity over time. Undersampled data was simulated by omitting lines in the PE direction. Different forms of a temporal TV constraint were compared here, and projection onto convex sets (POCS) was used to reconstruct the dynamic MRI images.
Highlights
Abstracts of the 13th Annual SCMR Scientific Sessions - 2010 Meeting abstracts - A single PDF containing all abstracts in this Supplement is available here. http://www.biomedcentral.com/content/files/pdf/1532-429X-11-S1-info
For dynamic MRI, in order to balance the tradeoff between spatial resolution and temporal resolution, one strategy is to reduce data sampling at every time frame and add constraints to compensate for the information loss [14]
Undersampled data was simulated by omitting lines in the PE direction
Summary
For dynamic MRI, in order to balance the tradeoff between spatial resolution and temporal resolution, one strategy is to reduce data sampling at every time frame and add constraints to compensate for the information loss [14]. * Corresponding author from 13th Annual SCMR Scientific Sessions Phoenix, AZ, USA. Published: 21 January 2010 Journal of Cardiovascular Magnetic Resonance 2010, 12(Suppl 1):P148 doi:10.1186/1532-429X-12-S1-P148
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