Abstract: The present disclosure relates to electronic devices that include a composition that actively generates a gaseous oxidizing agent component within the interior gas space of the electronic device. The present disclosure also relates to electronic devices that include a container that includes a gaseous oxidizing agent component in a manner that the gaseous oxidizing component can transfer from the container to the interior gas space of the electronic device. The present disclosure also involves related methods.

Abstract: Systems and methods for adaptive, multi-resolution magnetic resonance imaging (“MRI”), in which an MRI scan prescription is adaptively changed to acquire high-quality data from select regions-of-interest (“ROI”) in a larger field-of-view (“FOV”), are provided. The higher quality data can include data representing higher spatial resolution, higher signal-to-noise ratio (“SNR”), increased diffusion encoding via repeated acquisition with a larger number of diffusion-encoding directions, and so on. A composite image can be generated that displays the higher quality images of the ROIs overlaid on the larger FOV.

Abstract: The present disclosure provides a method and system for correcting errors caused by non-linearities in a gradient field profile of a gradient coil in a magnetic resonance imaging (MRI) system. The method includes obtaining a non-linearity tensor at each voxel within the imaging space using a computer model of the gradient coil; correcting motion sensitive encoding using the non-linearity tensor; and generating a corrected image using the corrected motion sensitive encoding.

Abstract: The present disclosure provides a method and system for correcting errors caused by non-linearities in a gradient field profile of a gradient coil in a magnetic resonance imaging (MRI) system. The method includes obtaining a non-linearity tensor at each voxel within the imaging space using a computer model of the gradient coil; correcting motion sensitive encoding using the non-linearity tensor; and generating a corrected image using the corrected motion sensitive encoding.

Abstract: A method for generating a magnetic resonance (MR) image includes acquiring MR data from each of a plurality of RF coils and applying a prospective motion correction method to the MR data for each RF coil including determining a set of motion measurements that include a scan plane orientation associated with each data point in the MR data. The MR data for each RF coil is divided into a plurality of scan plane orientation groups based on motion changes. A set of unaliasing coefficients is generated for each scan plan orientation group and applied to the MR data to synthesize data for each RF coil. The acquired MR data and synthesized data for each RF coil is combined to generate a scan plane orientation data set. Each scan plane orientation data set is combined to generate a complete k-space data set.

Abstract: A method for generating a magnetic resonance (MR) image includes acquiring MR data from each of a plurality of RF coils and applying a prospective motion correction method to the MR data for each RF coil including determining a set of motion measurements that include a scan plane orientation associated with each data point in the MR data. The MR data for each RF coil is divided into a plurality of scan plane orientation groups based on motion changes. A set of unaliasing coefficients is generated for each scan plan orientation group and applied to the MR data to synthesize data for each RF coil. The acquired MR data and synthesized data for each RF coil is combined to generate a scan plane orientation data set. Each scan plane orientation data set is combined to generate a complete k-space data set.

Abstract: The present invention provides a system and method for parallel imaging that performs auto-calibrating reconstructions with a 2D (for 2D imaging) or 3D kernel (for 3D imaging) that exploits the computational efficiencies available when operating in certain data “domains” or “spaces”. The reconstruction process of multi-coil data is separated into a “training phase” and an “application phase” in which reconstruction weights are applied to acquired data to synthesize (replace) missing data. The choice of data space, i.e., k-space, hybrid space, or image space, in which each step occurs is independently optimized to reduce total reconstruction time for a given imaging application. As such, the invention retains the image quality benefits of using a 2D k-space kernel without the computational burden of applying a 2D k-space convolution kernel.