An Optimal Radial Profile Order Based on the Golden Ratio for Time-Resolved MRI

In dynamic magnetic resonance imaging (MRI) studies, the motion kinetics or the contrast variability are often hard to predict, hampering an appropriate choice of the image update rate or the temporal resolution. A constant azimuthal profile spacing (111.246deg), based on the Golden Ratio, is invest...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on medical imaging 2007-01, Vol.26 (1), p.68-76
Main Authors: Winkelmann, S., Schaeffter, T., Koehler, T., Eggers, H., Doessel, O.
Format: Article
Language:English
Subjects:
Algorithms
Biomedical engineering
Biomedical imaging
Europe
Filters
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Image reconstruction
Image resolution
Imaging, Three-Dimensional - methods
Information Storage and Retrieval - methods
Kinetic theory
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Projection reconstruction
radial signal-to-noise ratio (MRI)
real-time imaging
Reproducibility of Results
Sensitivity and Specificity
Signal to noise ratio
Spatial resolution
Studies
time-resolved imaging
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:In dynamic magnetic resonance imaging (MRI) studies, the motion kinetics or the contrast variability are often hard to predict, hampering an appropriate choice of the image update rate or the temporal resolution. A constant azimuthal profile spacing (111.246deg), based on the Golden Ratio, is investigated as optimal for image reconstruction from an arbitrary number of profiles in radial MRI. The profile order is evaluated and compared with a uniform profile distribution in terms of signal-to-noise ratio (SNR) and artifact level. The favorable characteristics of such a profile order are exemplified in two applications on healthy volunteers. First, an advanced sliding window reconstruction scheme is applied to dynamic cardiac imaging, with a reconstruction window that can be flexibly adjusted according to the extent of cardiac motion that is acceptable. Second, a contrast-enhancing k-space filter is presented that permits reconstructing an arbitrary number of images at arbitrary time points from one raw data set. The filter was utilized to depict the T1-relaxation in the brain after a single inversion prepulse. While a uniform profile distribution with a constant angle increment is optimal for a fixed and predetermined number of profiles, a profile distribution based on the Golden Ratio proved to be an appropriate solution for an arbitrary number of profiles
ISSN:0278-0062
1558-254X
DOI:10.1109/TMI.2006.885337