Surgery – Diagnostic testing – Detecting nuclear – electromagnetic – or ultrasonic radiation
Reexamination Certificate
2011-08-16
2011-08-16
Le, Long V (Department: 3768)
Surgery
Diagnostic testing
Detecting nuclear, electromagnetic, or ultrasonic radiation
C600S411000
Reexamination Certificate
active
08000769
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.
REFERENCES:
patent: 6147492 (2000-11-01), Zhang et al.
patent: 6856134 (2005-02-01), Reeder et al.
Zhang, X., Measurement of Fat/Water Ratios in Rat Liver Using 3D Three-Point Dixon MRI, Magnetic Resonance in Medicine, 2004, 51:697-702.
Liu C-Y et al; Fat Quantification With IDEAL Gradient Echo Imaging: Correction of Bias From T1 and Noise; Magnetic Resonance in Medicine, Academic Press, Duluth MN. vol. 58, Jul. 27, 2007; pp. 354-364.
Reeder S B et al; Multicoil Dixon Chemical Species Separation With an Iterative least-Squares Estimation Method; Magnetic Resonance in Medicine, Academic Press, Duluth MN. vol. 51, No. 1; Jan. 1, 2004; pp. 35-46.
Yu H et al; Single Acquisition Water-Fat Separation: feasibility Study For Dynamic Imaging: Magnetic Resonance in Medicine, Academic Press, Duluth MN. vol. 55, 2006, pp. 413-422.
Hussain HK et al; Hepatic Fat Fraction: MR Imaging for Quantitative Measurement and Display-Early Experience; Radiology; vol. 237, 2005, pp. 1048-1055.
Reeder Scott Brian
Yu Huanzhou
Evoy Nicholas L
Le Long V
Quarles & Brady LLP
Wisconsin Alumni Research Foundation
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