Image analysis – Applications – Biomedical applications
Reexamination Certificate
2005-11-01
2005-11-01
Mehta, Bhavesh M. (Department: 2625)
Image analysis
Applications
Biomedical applications
C382S274000, C324S309000
Reexamination Certificate
active
06961455
ABSTRACT:
Automatic coil selection is based on determining an index gauge for a corresponding k-space data line acquired for each preselected coil during a prescan. Reliance on manual coil selection and markers is eliminated by adaptively determining the coils of an MR system that produce a preferred sensitivity to a desired field-of-view (FOV). The fast scan data is used to determine those coils most sensitive to the FOV and reject coil(s) least sensitive. Using only data acquired with the most sensitive coils, SNR is increased and unwanted artifacts are reduced in the final data acquisition and image reconstruction. Through automatic and adaptive selection/deselection, the invention reduces the susceptibility to human error, and therefore results in higher quality images.
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Ma Jingfei
Tan Guosheng
Choobin Barry
Della Penna Michael A.
Horton Carl B.
Mehta Bhavesh M.
Ziolkowski Patent Solutions Group, SC
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