Name
Abstract | ||
|---|---|---|
Compressed sensing (CS) has been successfully applied to accelerate conventional magnetic resonance imaging (MRI) with Fourier encoding. However in Fourier encoding, the low spatial frequency always has to be fully sampled such that the high frequency is insufficiently sampled at high accelerations, leading to serious loss of resolution. Non-Fourier encoding has been studied in the context of compressed sensing for 2-D imaging, but with limited improvement. In this paper, we propose a novel 3-D acquisition method using hybrid encoding. The method exploits random encoding with a circulant structure along the “phase encoding” direction, while keeping conventional Fourier encoding along the readout and slice encoding directions. A 2-D random undersampling pattern is used for accelerating the scans. Both simulation and experimental results demonstrate that the proposed method preserves much better resolution than the conventional 3-D Fourier encoding when the same acceleration factors are used. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ISBI.2012.6235568 | ISBI |
Keywords | Field | DocType |
fourier transforms,non-fourier encoding,image coding,image resolution,acceleration factors,circulant random encoding,readout encoding directions,hybrid encoding,2d random undersampling pattern,circulant structure,random encoding,3d acquisition method,image sampling,magnetic resonance imaging,compressed sensing,biomedical mri,phase encoding direction,slice encoding directions,nonfourier encoding,medical image processing,3d hybrid-encoded mri,encoding,acceleration,image reconstruction,three dimensional,high frequency,magnetic resonance image | Iterative reconstruction,Computer vision,Pattern recognition,Computer science,Undersampling,Fourier transform,Circulant matrix,Artificial intelligence,Image resolution,Spatial frequency,Compressed sensing,Encoding (memory) | Conference |
Volume | Issue | ISSN |
null | null | 1945-7928 |
ISBN | Citations | PageRank |
978-1-4577-1857-1 | 2 | 0.41 |
References | Authors | |
7 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haifeng Wang | 1 | 21 | 5.87 |
| Dong Liang | 2 | 50 | 4.28 |
| Kevin F. King | 3 | 36 | 8.91 |
| Leslie Ying | 4 | 240 | 29.08 |