Methods for fat quantification with correction for noise bias
AssigneesWisconsin Alumni Research Foundation, General Electric Company
InventorsHuanzhou Yu, Scott Brian Reeder
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AssigneesWisconsin Alumni Research Foundation, General Electric Company
InventorsHuanzhou Yu, Scott Brian Reeder
Estimating the term…
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.
A method for calculating a fat fraction for one or more voxels of interest using a magnetic resonance imaging (MRI) system, the method comprising the steps of:
The method as recited in claim in which step a) includes acquiring a plurality of image data sets at a respective plurality of different echo times.
Dependencies are inferred from the claim text.