| 发明名称 |
SAMPLING STRATEGIES FOR SPARSE MAGNETIC RESONANCE IMAGE RECONSTRUCTION |
| 摘要 |
A computer-implemented method of selecting a Magnetic Resonance Imaging (MRI) sampling strategy includes selecting a base variable-density sampling pattern and determining a scan time associated with the base variable-density sampling pattern. A modified variable-density sampling pattern is created by modifying one or more parameters of the base variable-density sampling pattern to maximize a sampled k-space area without increasing the scan time. Next, a scan is performed on an object of interest using the modified variable-density sampling pattern to obtain a sparse MRI dataset. Then a sparse reconstruction process is applied to the sparse MRI dataset to yield an image of the object of interest. |
| 申请公布号 |
US2015108978(A1) |
申请公布日期 |
2015.04.23 |
| 申请号 |
US201414515714 |
申请日期 |
2014.10.16 |
| 申请人 |
Siemens Aktiengesellschaft |
发明人 |
Wang Qiu;Zenge Michael;Mueller Edgar;Nadar Mariappan S. |
| 分类号 |
G01R33/56;G01R33/48 |
主分类号 |
G01R33/56 |
| 代理机构 |
|
代理人 |
|
| 主权项 |
1. A computer-implemented method of selecting a Magnetic Resonance Imaging (MRI) sampling strategy, the method comprising:
selecting a base variable-density sampling pattern; determining a scan time associated with the base variable-density sampling pattern; creating a modified variable-density sampling pattern by modifying one or more parameters of the base variable-density sampling pattern to maximize a sampled k-space area without increasing the scan time; performing a scan on an object of interest using the modified variable-density sampling pattern to obtain a sparse MRI dataset; and applying a sparse reconstruction process to the sparse MRI dataset to yield an image of the object of interest. |
| 地址 |
Munich DE |
