Abstract: A computerized system and method of modeling myocardial tissue perfusion can include acquiring a plurality of original frames of magnetic resonance imaging (MRI) data representing images of a heart of a subject and developing a manually segmented set of ground truth frames from the original frames. Applying training augmentation techniques to a training set of the originals frame of MRI data can prepare the data for training at least one convolutional neural network (CNN). The CNN can segment the training set of frames according to the ground truth frames. Applying the respective input test frames to a trained CNN can allow for segmenting an endocardium layer and an epicardium layer within the respective images of the input test frames. The segmented images can be used in calculating myocardial blood flow into the myocardium from segmented images of the input test frames.

Abstract: Systems and methods for performing ungated magnetic resonance imaging are disclosed herein. A method includes producing magnetic resonance image MRI data by scanning a target in a low magnetic field with a pulse sequence having a spiral trajectory; sampling k-space data from respective scans in the low magnetic field and receiving at least one field map data acquisition and a series of MRI data acquisitions from the respective scans; forming a field map and multiple sensitivity maps in image space from the field map data acquisition; forming target k-space data with the series of MRI data acquisitions; forming initial magnetic resonance images in the image domain by applying a Non-Uniform Fast Fourier Transform to the target k-space data; and forming reconstructed images with a low rank plus sparse (L+S) reconstruction algorithm applied to the initial magnetic resonance images.

Abstract: A storage controller has an operating system (OS) and power control firmware configured to manage use of battery power during a power outage event. The OS specifies to the power control firmware first and second sets of physical components that should be shed by power control firmware during a two-phase vault process. Upon a power failure, the power control firmware turns off power to the first set of physical components and notifies the OS of the power failure. The OS determines whether to abort or continue the vault process. If the OS aborts the vault process, the power control firmware restores power to the first set of physical components. If the OS continues the vault process, the power control firmware turns off power to the second set of physical components, the OS saves application state, and moves all data from volatile memory to persistent memory.

Abstract: A storage controller has an operating system (OS) and power control firmware configured to manage use of battery power during a power outage event. The OS specifies to the power control firmware first and second sets of physical components that should be shed by power control firmware during a two-phase vault process. Upon a power failure, the power control firmware turns off power to the first set of physical components and notifies the OS of the power failure. The OS determines whether to abort or continue the vault process. If the OS aborts the vault process, the power control firmware restores power to the first set of physical components. If the OS continues the vault process, the power control firmware turns off power to the second set of physical components, the OS saves application state, and moves all data from volatile memory to persistent memory.

Abstract: Systems and methods for performing ungated magnetic resonance imaging are disclosed herein. A method includes producing magnetic resonance image MRI data by scanning a target in a low magnetic field with a pulse sequence having a spiral trajectory; sampling k-space data from respective scans in the low magnetic field and receiving at least one field map data acquisition and a series of MRI data acquisitions from the respective scans; forming a field map and multiple sensitivity maps in image space from the field map data acquisition; forming target k-space data with the series of MRI data acquisitions; forming initial magnetic resonance images in the image domain by applying a Non-Uniform Fast Fourier Transform to the target k-space data; and forming reconstructed images with a low rank plus sparse (L+S) reconstruction algorithm applied to the initial magnetic resonance images.

Abstract: Some aspects of the present disclosure relate a method for magnetic resonance imaging, which can include acquiring, by applying an imaging pulse sequence, magnetic resonance data associated with a region of interest of a subject. The imaging pulse sequence can include a plurality of RF pulses configured to generate a desired image contrast, and an outer-volume suppression (OVS) module to attenuate the signal outside the region of interest. The method can further include reconstructing, from the acquired magnetic resonance data, a plurality of reduced field of view (rFOV) magnetic resonance images corresponding to the region of interest.

Abstract: A computerized method of reconstructing acquired magnetic resonance image (MRI) data to produce a series of output images includes acquiring a multiband k-space data set from a plurality of multiband slices of spiral MRI data; simultaneously acquiring a single band k-space data set comprising respective single band spiral image slices that are each associated with a respective one of the multiband slices in the multiband k-space data set; using the single band k-space data set, for each individual multiband slice, calculating a respective calibration kernel to apply to the multi-band k-space data set for each individual multiband slice; separating each individual multiband slice from the multiband k space data set by phase demodulating the multi-band k-space data using multiband phase demodulation operators corresponding to the individual multiband slice and convolving phase demodulated multi-band k-space data with a selected convolution operator to form a gridded set of the multi-band k-space data correspond

Abstract: A computerized system and method of modeling myocardial tissue perfusion can include acquiring a plurality of original frames of magnetic resonance imaging (MRI) data representing images of a heart of a subject and developing a manually segmented set of ground truth frames from the original frames. Applying training augmentation techniques to a training set of the originals frame of MRI data can prepare the data for training at least one convolutional neural network (CNN). The CNN can segment the training set of frames according to the ground truth frames. Applying the respective input test frames to a trained CNN can allow for segmenting an endocardium layer and an epicardium layer within the respective images of the input test frames. The segmented images can be used in calculating myocardial blood flow into the myocardium from segmented images of the input test frames.

Abstract: In some aspects, the disclosed technology relates to reducing respiratory-induced motion artifacts for accelerated imaging. In one embodiment, magnetic resonance data may be acquired for an area of a subject containing the heart. The acquired data may include motion-corrupted data due to respiration of the subject. From the acquired data, an image may be independently reconstructed for each of a plurality of time frames, with each time frame corresponding to one of a plurality of heartbeats. A region containing the heart of the subject may be automatically detected in the reconstructed images, and rigid motion registration may be performed on the region of the reconstructed images containing the heart. Based on the rigid motion registration, a linear phase shift for motion correction may be determined.

Abstract: A computerized method of reconstructing acquired magnetic resonance image (MRI) data to produce a series of output images includes acquiring a multiband k-space data set from a plurality of multiband slices of spiral MRI data; simultaneously acquiring a single band k-space data set comprising respective single band spiral image slices that are each associated with a respective one of the multiband slices in the multiband k-space data set; using the single band k-space data set, for each individual multiband slice, calculating a respective calibration kernel to apply to the multi-band k-space data set for each individual multiband slice; separating each individual multiband slice from the multiband k space data set by phase demodulating the multi-band k-space data using multiband phase demodulation operators corresponding to the individual multiband slice and convolving phase demodulated multi-band k-space data with a selected convolution operator to form a gridded set of the multi-band k-space data correspond

Abstract: Systems and methods for simultaneous multi-slice imaging. In one embodiment, a method for magnetic resonance imaging of a region of interest of a subject includes simultaneously exciting multiple, different slice locations corresponding to a region of interest of a subject using a radio-frequency (rf) pulse, for obtaining multiple slices. The excitation phase is modulated between acquisitions using a phase cycling scheme configured to create signal cancellation of all but one slice of the multiple excited slices from the different slice locations. The method also includes applying an imaging pulse sequence using a spiral k-space trajectory to acquire image data from the multiple slices, for an image or series of images of the region of interest; and reconstructing, from the multiple slices, images of the region of interest, wherein the reconstructing recovers unaliased images from the different slice locations.

Abstract: A system and method for preventing scale in a well. The system includes a conduit providing fluid communication between a first location and a second location and a sensor at the second location configured to measure scale deposition in the fluid and a value of a fluid parameter. A scale deposition at the first location is determined from the scale deposition at the second location and the fluid parameter at the second location. A scale inhibitor is injected at the first location based on the determined scale deposition at the first location.

Abstract: A surface-based separation assembly for use in separating fluid. The surface-based separation assembly includes a gas-liquid separator configured to receive a fluid stream, and configured to separate the fluid stream into a gas stream and a mixed stream of at least two liquids. A liquid-liquid separator is in flow communication with the gas-liquid separator. The liquid-liquid separator is configured to receive the mixed stream from the gas-liquid separator, and is configured to separate the mixed stream into a first liquid stream and a second liquid stream. The assembly further includes a rotatable shaft including a first portion extending through the gas-liquid separator, and a second portion extending through the liquid-liquid separator. The rotatable shaft is configured to induce actuation of the gas-liquid separator and the liquid-liquid separator.

Abstract: Electric motor systems and methods may provide highly efficient operation. The electric motor systems and methods discussed herein provide an oil filled motor that is low speed and utilizes permanent magnets. The electric motor may utilize a large number of poles and fractional slot design. Further, in some embodiments, the electric motor systems and methods may be suitable for use downhole.

Abstract: A system and method for preventing scale in a well. The system includes a conduit providing fluid communication between a first location and a second location and a sensor at the second location configured to measure scale deposition in the fluid and a value of a fluid parameter. A scale deposition at the first location is determined from the scale deposition at the second location and the fluid parameter at the second location. A scale inhibitor is injected at the first location based on the determined scale deposition at the first location.

Abstract: A scale sensor comprises sensor electrodes including an uncoated porous metal working electrode and a counter electrode; and an impedance analyzer electrically coupled to the sensor electrodes. A method of monitoring scale deposition comprises placing an uncoated porous metal working electrode and a counter electrode in a fluid to be monitored; and monitoring scale deposition on the uncoated porous metal working electrode using an impedance analyzer electrically coupled to the uncoated porous metal working electrode and the counter electrode.

Abstract: A sensor system including a body having an inlet, an outlet, and a fluid passage extending between the inlet and the outlet. A sensor is arranged at the fluid passage spaced from the outlet, and a temperature adjustment element is arranged in thermal communication with at least one of a portion of the fluid passage and the sensor.

Abstract: In some aspects, the present disclosure relates to free-breathing cine imaging of an area of interest of a subject. In one embodiment, a method includes acquiring, during free breathing of the subject, magnetic resonance imaging data corresponding to an area of interest of a subject that comprises the heart, wherein the acquiring comprises applying a pulse sequence with a spiral trajectory. The method also includes performing cardiac self-gating using a self-gating signal extracted from a central region of k-space, and performing respiratory motion correction to compensate for changes in the heart position during respiratory motion, wherein the motion correction comprises rigid or non-rigid registration to determine corrective displacements. The method also includes performing image reconstruction to produce cine images of the area of interest over a plurality of heart-beats.

Abstract: In one aspect, the disclosed technology relates to a method which, in one example embodiment, includes acquiring magnetic resonance imaging data for a plurality of images of the heart of a subject during free breathing of the subject. The method also includes generating an additional plurality of images with high tissue-blood contrast over the region of interest, and selecting a subset of images from the plurality of images, based upon a pre-determined quality metric of image similarity, to be used for non-rigid image registration. The method also includes aligning the subset of images by non-rigid image registration using a combination of the plurality of images and the additional plurality of images, and creating a parametric map from the aligned images.

Abstract: Some aspects of the present disclosure relate to accelerated imaging using variable-density sampling and compressed sensing with parallel imaging. In one embodiment, a method includes acquiring magnetic resonance data associated with a physiological activity in an area of interest of a subject. The acquiring includes performing accelerated variable-density sampling with phase-contrast displacement encoding. The method also includes reconstructing, from the acquired magnetic resonance data, images corresponding to the physiological activity in the area of interest. The reconstructing includes performing parallel imaging and compressed sensing.