Abstract: Methods and systems are provided for automated graphical prescriptions with deep learning systems. In one embodiment, a method for a medical imaging system comprises acquiring, by the medical imaging system, localizer images of a subject, generating, by a trained neural network system, a graphical prescription using the localizer images, and performing, by the medical imaging system, a scan of the subject according to the graphical prescription. In this way, a desired region of interest of the subject may be accurately scanned with minimal input from an operator of the medical imaging system.

Abstract: Various methods and systems are provided for selecting radio frequency (RF) coil array for magnetic resonance imaging (MRI). In one embodiment, the method comprises grouping the plurality of coil elements into receiving elements groups (REGs) according to REGs information, generating channel sensitivity maps for the plurality of coil elements, generating REG sensitivity maps based on the REGs information and the channel sensitivity maps, selecting one or more REGs based on the REG sensitivity maps and a region of interest (ROI), and scanning the ROI with the coil elements of the one or more selected REGs being activated and the coil elements not in any selected REGs being deactivated. In this way, coil arrays may be automatically selected for improved image quality of the MRI.

Abstract: Various methods and systems are provided for selecting coil elements of a plurality of coil elements of a radio frequency (RF) coil array for use in a magnetic resonance imaging (MRI) system. In one example, a method includes grouping the plurality of coil elements into receive elements groups (REGs) according to REGs information, generating channel sensitivity maps for the plurality of coil elements, generating REG sensitivity maps based on the REGs information and the channel sensitivity maps, labeling each REG as either selectable or not selectable based on the REG sensitivity maps, selecting one or more REGs from the selectable REGs based on the REG sensitivity maps and a region of interest (ROI), and scanning the ROI with the coil elements in the one or more selected REGs being activated and the coil elements not in any selected the other REGs being deactivated.

Abstract: Various methods and systems are provided for selecting radio frequency coil array comprising a plurality of coil elements for magnetic resonance imaging. In one embodiment, the method includes grouping the plurality of coil elements into receive elements groups (REGs) according to REGs information; generating REG sensitivity maps; determining, for each REG, signal in a region of interest (ROI) and signal in an annefact source region based on the REG sensitivity maps; selecting one or more REGs based on the signal in the ROI and the signal in the annefact source region; and scanning the ROI with the coil elements in the one or more selected REGs being activated and the coil elements not in any selected REGs being deactivated. In this way, annefact artifacts in the reconstructed image may be reduced.

Abstract: Methods and systems are provided for automated graphical prescriptions with deep learning systems. In one embodiment, a method for a medical imaging system comprises acquiring, by the medical imaging system, localizer images of a subject, generating, by a trained neural network system, a graphical prescription using the localizer images, and performing, by the medical imaging system, a scan of the subject according to the graphical prescription. In this way, a desired region of interest of the subject may be accurately scanned with minimal input from an operator of the medical imaging system.

Abstract: Various methods and systems are provided for selecting radio frequency coil array comprising a plurality of coil elements for magnetic resonance imaging. In one embodiment, the method includes grouping the plurality of coil elements into receive elements groups (REGs) according to REGs information; generating REG sensitivity maps; determining, for each REG, signal in a region of interest (ROI) and signal in an annefact source region based on the REG sensitivity maps; selecting one or more REGs based on the signal in the ROI and the signal in the annefact source region; and scanning the ROI with the coil elements in the one or more selected REGs being activated and the coil elements not in any selected REGs being deactivated. In this way, annefact artifacts in the reconstructed image may be reduced.

Abstract: Various methods and systems are provided for selecting radio frequency (RF) coil array for magnetic resonance imaging (MRI). In one embodiment, the method comprises grouping the plurality of coil elements into receiving elements groups (REGs) according to REGs information, generating channel sensitivity maps for the plurality of coil elements, generating REG sensitivity maps based on the REGs information and the channel sensitivity maps, selecting one or more REGs based on the REG sensitivity maps and a region of interest (ROI), and scanning the ROI with the coil elements of the one or more selected REGs being activated and the coil elements not in any selected REGs being deactivated. In this way, coil arrays may be automatically selected for improved image quality of the MRI.

Abstract: Various methods and systems are provided for selecting coil elements of a plurality of coil elements of a radio frequency (RF) coil array for use in a magnetic resonance imaging (MRI) system. In one example, a method includes grouping the plurality of coil elements into receive elements groups (REGs) according to REGs information, generating channel sensitivity maps for the plurality of coil elements, generating REG sensitivity maps based on the REGs information and the channel sensitivity maps, labeling each REG as either selectable or not selectable based on the REG sensitivity maps, selecting one or more REGs from the selectable REGs based on the REG sensitivity maps and a region of interest (ROI), and scanning the ROI with the coil elements in the one or more selected REGs being activated and the coil elements not in any selected the other REGs being deactivated.

Abstract: A system for magnetic resonance imaging an object is provided. The system includes a plurality of coil element groupings disposed within one or more RF coils, and a controller. The controller is operative to receive MR data from the object via the one or more RF coils, determine a g-factor for each of the coil element groupings of the plurality based at least in part on the MR data, and select a coil element grouping of the plurality based at least in part on the g-factors.

Abstract: A grain moisture sensor is disclosed having a sensor cell that includes a driven plate, a sense plate proximate to and substantially parallel with the driven plate for capacitive measurement across a spacing between the driven plate and the sense plate, and a fill plate adjacent the sense plate and substantially parallel with the driven plate for sensing whether the spacing is filled with grain. Optionally, the sensor cell includes a guard proximate to the parallel to the sense plate such that the sense plate is between the driven plate and the guard. The grain moisture sensor provides for measuring real and imaginary components of an excitation voltage applied to the driven plate, measuring real and imaginary components of a sense current sensed at the sense plate, calculating a complex admittance of the cell, calculating a complex admittance of a reference admittance, and calculating a grain complex permittivity.