Back to Search
Start Over
Least-Square NUFFT Methods Applied to 2-D and 3-D Radially Encoded MR Image Reconstruction.
- Source :
-
IEEE Transactions on Biomedical Engineering . Apr2009, Vol. 56 Issue 4, p1134-1142. 9p. 7 Black and White Photographs, 4 Graphs. - Publication Year :
- 2009
-
Abstract
- Radially encoded MRI has gained increasing attention due to its motion insensitivity and reduced artifacts. However, because its samples are collected nonuniformly in the k-space, multidimensional (especially 3-D) radially sampled Mill image reconstruction is challenging. The objective of this paper is to develop a reconstruction technique in high dimensions with on-the-fly kernel calculation. It implements general multidimensional nonuniform fast Fourier transform (NUFFT) algorithms and incorporates them into a k-space image reconstruction framework. The method is then applied to reconstruct from the radially encoded k-space data, although the method is applicable to any non- Cartesian patterns. Performance comparisons are made against the conventional Kaiser-Bessel (KB) gridding method for 2-D and 3-D radially encoded computer-simulated phantoms and physically scanned phantoms. The results show that the NUFFT reconstruction method has better accuracy-efficiency tradeoff than the KB gridding method when the kernel weights are calculated on the fly. It is found that for a particular conventional kernel function, using its corresponding deapodization function as a scaling factor in the NUFFT framework has the potential to improve accuracy. In particular, when a cosine scaling factor is used, the NUFFT method is faster than KB gridding method since a closed-form solution is available and is less computationally expensive than the KB kernel (KB griding requires computation of Bessel functions). The NUFFT method has been successfully applied to 2-D and 3-D in vivo studies on small animals. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00189294
- Volume :
- 56
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Biomedical Engineering
- Publication Type :
- Academic Journal
- Accession number :
- 40079135
- Full Text :
- https://doi.org/10.1109/TBME.2009.2012721