Spatially Varying Steady State Longitudinal Magnetization in Distant Dipolar Field-based Sequences

Physics – Medical Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

7 pages, 4 figures, submitted to Journal of Magnetic Resonance

Scientific paper

10.1016/j.jmr.2004.08.005

Sequences based on the Distant Dipolar Field (DDF) have shown great promise for novel spectroscopy and imaging. Unless spatial variation in the longitudinal magnetization, M_{z}(s), is eliminated by relaxation, diffusion, or spoiling techniques by the end of a single repetition, unexpected results can be obtained due to spatial harmonics in the steady state M_{z}^{SS}(s) profile. This is true even in a homogeneous single-component sample. We have developed an analytical expression for the M_{z}^{SS}(s) profile that occurs in DDF sequences when smearing by diffusion is negligible in the TR period. The expression has been verified by directly imaging the M_{z}^{SS}(s) profile after establishing the steady state. more keywords: magnetic resonance, intermolecular multiple quantum coherence, mesoscale structure, iMQC, DDF

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Spatially Varying Steady State Longitudinal Magnetization in Distant Dipolar Field-based Sequences does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Spatially Varying Steady State Longitudinal Magnetization in Distant Dipolar Field-based Sequences, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Spatially Varying Steady State Longitudinal Magnetization in Distant Dipolar Field-based Sequences will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-668771

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.