Name
Title | ||
|---|---|---|
Compressed Sensing With Non-Uniform Fast Fourier Transform For Radial Ultra-Short Echo Time (Ute) Mri |
Abstract | ||
|---|---|---|
This paper proposes a compressive sensing (CS) method for radial Magnetic Resonance Imaging (MRI) using non-uniform fast fourier transform (NUFFT). With the Ultra-short Echo Time (UTE) technology, radial MRI can reduce scan time, reduce artifacts, and achieve high imaging quality. We show that NUFFT-CS reconstruction from under-sampled radial k-space measurements achieves better image quality than the zero-filling (ZF) approaches and the existing CS approach that uses regridding. Experiments using phantom and animal samples have verified that the NUFFT-CS achieves better performance than the NUFFT-ZF, regrid-ZF, and regrid-CS, especially at small sampling rates. |
Year | Venue | Keywords |
|---|---|---|
2015 | 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI) | Ultra-short echo time (UTE), radial MRI, Non-Uniform Fast Fourier Transform (NUFFT), re-gridding, Compressed Sensing, compressive sensing |
Field | DocType | ISSN |
Iterative reconstruction,Computer vision,Computer science,Medical imaging,Imaging phantom,Image quality,Fast Fourier transform,Artificial intelligence,Compressed sensing,Signal reconstruction,Magnetic resonance imaging | Conference | 1945-7928 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiahan Yang | 1 | 5 | 2.12 |
| Yahong Rosa Zheng | 2 | 885 | 76.15 |
| ming yang | 3 | 0 | 1.01 |
| lixin ma | 4 | 0 | 1.01 |