Image analysis – Applications – Biomedical applications
Reexamination Certificate
2008-02-26
2011-11-08
Kim, Robert (Department: 2881)
Image analysis
Applications
Biomedical applications
C324S307000, C600S410000
Reexamination Certificate
active
08055048
ABSTRACT:
In a method for generation of MR exposures in an MR system, a number of under-sampled MR raw data sets are acquired with non-constant density in k-space. A density compensation is implemented dependent on the geometry of the structure to be depicted. The under-sampled MR raw data sets are translated into a Cartesian coordinate system. Fourier transformation of the translated raw data sets in classical three-dimensional space ensues to generate under-sampled MR images. An averaged MR image is generated on the basis of a number of the under-sampled MR raw data sets. The MR exposures are produced by multiplication of the under-sampled MR images with the averaged MR image.
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Mistretta et. al. “Highly Constrained Backprojection for Time Resolved MRI”, Magnetic Resonance in Medicine, vol. 55 (2005) pp. 30-40.
“Highly Constrained Backprojection for Time-Resolved MRI,” Mistretta et al., Magnetic Resonance in Medicine, vol. 55 (2005) pp. 30-40.
Nielles-Vallespin Sonia
Schmitt Peter
Speier Peter
Kim Robert
Schiff & Hardin LLP
Siemens Aktiengesellschaft
Smith David E
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