Invention Grant
- Patent Title: Methods for fat quantification with correction for noise bias
- Patent Title (中): 脂肪定量方法用于校正噪声偏差
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Application No.: US13180141Application Date: 2011-07-11
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Publication No.: US08527031B2Publication Date: 2013-09-03
- Inventor: Huanzhou Yu , Scott Brian Reeder
- Applicant: Huanzhou Yu , Scott Brian Reeder
- Applicant Address: US WI Madison US NY Schenectady
- Assignee: Wisconsin Alumni Research Foundation,General Electric Company
- Current Assignee: Wisconsin Alumni Research Foundation,General Electric Company
- Current Assignee Address: US WI Madison US NY Schenectady
- Agency: Quarles & Brady, LLP
- Main IPC: A61B5/05
- IPC: A61B5/05

Abstract:
Methods are disclosed for calculating a fat fraction corrected for noise bias of one or more voxels of interest using a magnetic resonance imaging (MRI) system. A plurality of image data sets are obtained each corresponding to NMR k-space data acquired using a pulse sequence with an individual associated echo time tn. A system of linear equations is formed relating image signal values to a desired decomposed calculated data vector having a component such as a water and fat combination having zero mean noise, or having a real fat component and a real water component. A fat fraction is calculated from at least one component of the decomposed calculated data vector. In another embodiment, the system of linear equations is normalized and can directly estimate a fat fraction or a water fraction having reduced noise bias.
Public/Granted literature
- US20110268337A1 Methods For Fat Quantification With Correction For Noise Bias Public/Granted day:2011-11-03
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