| 发明名称 |
Systems and methods for magnetic resonance bone depiction |
| 摘要 |
Systems and methods of classifying component tissues of magnetic resonance images, where the method includes performing a proton density weighted, short echo-time magnetic resonance imaging measurement over a first volume field-of-view region of interest (ROI), repeating a series refining the first volume field-of-view ROI into a plurality of subsequent smaller ROI volumes having respective smaller resolutions, reconstructing a complex image from the plurality of magnetic resonance imaging measurements, performing a bias correction on at least one of the plurality of subsequent smaller ROI volumes, and classifying the ROI volumes by tissue type based on the bias-corrected image signal, wherein at least one tissue type is bone. A non-transitory medium containing processor instructions and a system are disclosed. |
| 申请公布号 |
US9594139(B2) |
申请公布日期 |
2017.03.14 |
| 申请号 |
US201414229464 |
申请日期 |
2014.03.28 |
| 申请人 |
General Electric Company |
发明人 |
Wiesinger Florian;Shanbhag Dattesh Dayanand;Sacolick Laura Irene;Kaushik Sandeep Suryanarayana |
| 分类号 |
G01R33/56;G01R33/48 |
主分类号 |
G01R33/56 |
| 代理机构 |
|
代理人 |
Dobson Melissa K. |
| 主权项 |
1. A method of classifying component tissues of magnetic resonance images, the method comprising:
performing a proton density contrast weighted, short echo-time magnetic resonance imaging measurement over a first volume field-of-view region of interest (ROI); repeating a series refining the first volume field-of-view ROI into a plurality of subsequent smaller ROI volumes having respective smaller resolutions; reconstructing a complex image from the plurality of magnetic resonance imaging measurements; performing a bias correction on at least one of the plurality of subsequent smaller ROI volumes; and classifying the ROI volumes by tissue type based on the bias-corrected image signal, wherein at least one tissue type is bone. |
| 地址 |
Niskayuna NY US |
