Recent advances in Flow MRI

[Display omitted] ► Flow MR images are now acquired routinely on timescales of 100ms. ► Acquisition times can be as short as 5–10ms. ► Flow MRI of transient systems is now possible. ► Sparse sampling, parallel imaging and signal enhancement can increase imaging speed. ► Future opportunities in mergi...

Full description

Saved in:
Bibliographic Details
Published in:Journal of magnetic resonance (1997) 2013-04, Vol.229, p.2-11
Main Authors: Gladden, Lynn F., Sederman, Andrew J.
Format: Article
Language:English
Subjects:
Algorithms
Bayes Theorem
Bayesian analysis
Compressed
Flow
Flow MRI
Gases
Image acquisition
Image Processing, Computer-Assisted - methods
Image Processing, Computer-Assisted - trends
Imaging
Imaging, Three-Dimensional
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Magnetic Resonance Imaging - trends
Marketing
Multi-phase flow
Strategy
Turbulence
Two dimensional
Velocity
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:[Display omitted] ► Flow MR images are now acquired routinely on timescales of 100ms. ► Acquisition times can be as short as 5–10ms. ► Flow MRI of transient systems is now possible. ► Sparse sampling, parallel imaging and signal enhancement can increase imaging speed. ► Future opportunities in merging sparse sampling, parallel imaging and hyperpolarisation. The past five years have seen exciting new developments in Flow MRI. Two-dimensional images are now routinely acquired in 100–200ms and, in some cases, acquisition times of 5–10ms are possible. This has been achieved not only by advances in the implementation of existing pulse sequences but also in data acquisition strategies, such as Compressed Sensing and Bayesian approaches, and technical advices in parallel imaging and signal enhancement methods. In particular, the short imaging timescales that are now achieved offer significant opportunities in the study of transient flow phenomena.
ISSN:1090-7807
1096-0856
DOI:10.1016/j.jmr.2012.11.022