发明名称 |
Phase Enhanced UTE With Improved Fat Suppression |
摘要 |
A computer-implemented method of performing magnetic resonance imaging with ultra-short echo time pulse sequences includes defining short T2 threshold limits for enhancement. A multi-echo ultra-short echo time response is acquired and a complex dataset is determined based on the multi-echo ultra-short echo time response. A plurality of phase components is identified from the complex dataset, wherein each phase component is associated with a T2 relaxation time within the short T2 threshold limits. A plurality of frequency components is also identified from the complex dataset, wherein each frequency component is associated with the T2 relaxation time within the short T2 threshold limits. Next, a magnitude dataset is derived from the complex dataset and a fitting algorithm is applied to the magnitude dataset to yield a plurality of magnitude components, wherein each magnitude component is associated with the T2 relaxation time within the short T2 threshold limits. A plurality of phase masks are created based on the plurality of phase components and the plurality of frequency components. These phase masks are applied to the magnitude dataset to obtain a combined dataset. Then, an image based on the combined dataset may be presented on a display. |
申请公布号 |
US2015268316(A1) |
申请公布日期 |
2015.09.24 |
申请号 |
US201414217517 |
申请日期 |
2014.03.18 |
申请人 |
Siemens Medical Solutions USA, Inc. |
发明人 |
Seethamraju Ravi Teja |
分类号 |
G01R33/48;G01R33/50 |
主分类号 |
G01R33/48 |
代理机构 |
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代理人 |
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主权项 |
1. A computer-implemented method of performing magnetic resonance imaging with ultra-short echo time pulse sequences, the method comprising:
defining short T2 threshold limits for enhancement; acquiring a multi-echo ultra-short echo time response; determining a complex dataset based on the multi-echo ultra-short echo time response; identifying a plurality of phase components from the complex dataset, wherein each phase component is associated with a T2 relaxation time within the short T2 threshold limits; identifying a plurality of frequency components from the complex dataset, wherein each frequency component is associated with the T2 relaxation time within the short T2 threshold limits; deriving a magnitude dataset from the complex dataset; applying a fitting algorithm to the magnitude dataset to yield a plurality of magnitude components, wherein each magnitude component is associated with the T2 relaxation time within the short T2 threshold limits; creating a plurality of phase masks based on the plurality of phase components and the plurality of frequency components; applying the plurality of phase masks to the magnitude dataset to obtain a combined dataset; and presenting an image on a display based on the combined dataset. |
地址 |
Malvern PA US |