Abstract: Implementations of a silicon-on-insulator (SOI) die may include a silicon layer including a first side and a second side, and an insulative layer coupled directly to the second side of the silicon layer. The insulative layer may not be coupled to any other silicon layer.

Abstract: The disclosed embodiments include an ESD robust transistor with a compound-SCR protection. The transistor may include a semiconductor substrate having a first conductivity type, a drain region coupled with the semiconductor substrate having a drain SCR component with a first drain region of the first conductivity type and a second drain region of the second conductivity type. The transistor may also include a source coupled with the semiconductor substrate, a channel region of the second conductivity type, and a gate coupled with the channel region having SCR components with a first gate region of the first conductivity type and a second gate region of the second conductivity type. The drain SCR components and the gate SCR components may create a low resistance discharge path along the channel region that activates in response to the ESD such that the ESD discharges through the transistor without causing damage to the transistor.

Abstract: A system and method is provided for generating a map of a tissue property in a subject using magnetic resonance fingerprinting (MRF) and a compressed MRF dictionary, where the compressed MRF dictionary has a significantly reduced memory requirement relative to a standard MRF dictionary. The method includes performing a randomized singular value decomposition (rSVD) on a MRF dictionary to produce the compressed MRF dictionary. MRF data is then acquired and compared to the MRF dictionary to identify the tissue property from the region of interest in the subject. A tissue property map is then generated based on the tissue in the region of interest of the subject.

Abstract: The disclosed embodiments include an ESD robust transistor with a compound-SCR protection. The transistor may include a semiconductor substrate having a first conductivity type, a drain region coupled with the semiconductor substrate having a drain SCR component with a first drain region of the first conductivity type and a second drain region of the second conductivity type. The transistor may also include a source coupled with the semiconductor substrate, a channel region of the second conductivity type, and a gate coupled with the channel region having SCR components with a first gate region of the first conductivity type and a second gate region of the second conductivity type. The drain SCR components and the gate SCR components may create a low resistance discharge path along the channel region that activates in response to the ESD such that the ESD discharges through the transistor without causing damage to the transistor.

Abstract: Methods for magnetic resonance fingerprinting (“MRF”) that are more robust to patient motion than conventional MRF techniques are described. The methods described in the present disclosure provide an image reconstruction algorithm for MRF that decreases the motion sensitivity of MRF.

Abstract: Example embodiments associated with characterizing a sample using NMR fingerprinting are described. One example NMR apparatus includes an NMR logic that repetitively and variably samples a (k, t, E) space associated with an object to acquire a set of NMR signals that are associated with different points in the (k, t, E) space. Sampling is performed with t and/or E varying in a non-constant way. The NMR apparatus may also include a signal logic that produces an NMR signal evolution from the NMR signals and a characterization logic that characterizes a tissue in the object as a result of comparing acquired signals to reference signals. Example embodiments facilitate distinguishing prostate cancer tissue from normal peripheral zone tissue based on quantitative data acquired using NMR fingerprinting in combination with apparent diffusion co-efficient (ADC) values or perfusion values acquired using DWI-MRI or DCE-MRI.

Abstract: A method for target identification for a deep brain stimulation procedure includes acquiring a set of magnetic resonance fingerprinting (MRF) data for a region of interest in a subject using a MRI system, comparing the set of MRF data to an MRF dictionary to determine at least one parameter for the MRF data for the region of interest, generating a quantitative map of the at least one parameter, segmenting a target area of the region of interest based on the MRF data, generating at least one trajectory for placement of at least one electrode in the target area of the region of interest based on the segmentation of the target area and displaying the quantitative map and the at least one trajectory on a display.

Abstract: A system for displaying and interacting with magnetic resonance imaging (MRI) data acquired using an MRI system includes an image reconstruction module configured to receive the MRI data and to reconstruct a plurality of images using the MRI data, an image rendering module coupled to the image reconstruction module and configured to generate at least one multidimensional image based on the plurality of images and a user interface device coupled to the image rendering module and located proximate to a workstation of the MRI system. The user interface device is configured to display the at least one multidimensional image in real-time and to facilitate interaction by a user with the multidimensional image in a virtual reality or augmented reality environment.

Abstract: Apparatus, methods, and other embodiments associated with NMR fingerprinting with parallel transmission are described. One example apparatus includes individually controllable radio frequency (RF) transmission (TX) coils configured to apply varying NMR fingerprinting RF excitations to a sample. The NMR apparatus may apply excitations in parallel. An individual excitation causes different resonant species to produce different signal evolutions. The apparatus includes a parallel transmission logic that causes one of the coils to apply a first excitation to the sample and that causes a different coil to apply a second, different excitation to the sample. The excitations are configured to produce a spatial inhomogeneity between a first region in the sample and a second region in the sample that allows a resonant species to produce a first signal evolution in the first region and to produce a second signal evolution in the second region to facilitate de-correlating the signal evolutions.

Abstract: Apparatus, methods, and other embodiments associated with NMR fingerprinting are described. One example NMR apparatus includes an NMR logic configured to repetitively and variably sample a (k, t, E) space associated with an object to acquire a set of NMR signals. Members of the set of NMR signals are associated with different points in the (k, t, E) space. Sampling is performed with t and/or E varying in a non-constant way. The varying parameters may include flip angle, echo time, RF amplitude, and other parameters. The NMR apparatus may also include a signal logic configured to produce an NMR signal evolution from the NMR signals, and a characterization logic configured to characterize a resonant species in the object as a result of comparing acquired signals to reference signals.

Abstract: Example apparatus and methods employ an artificial neural network (ANN) to automatically design magnetic resonance (MR) pulse sequences. The ANN is trained using transverse magnetization signal evolutions having arbitrary initial magnetizations. The trained up ANN may then produce an array of signal evolutions associated with a pulse sequence having user selectable pulse sequence parameters that vary in degrees of freedom associated with magnetic resonance fingerprinting (MRF). Efficient and accurate approaches are provided for predicting user controllable MR pulse sequence settings including, but not limited to, acquisition period and flip angle (FA). The acquisition period and FA may be different in different sequence blocks in the pulse sequence produced by the ANN. Predicting user controllable MR pulse sequence settings for both conventional MR and MRF facilitates achieving desired signal characteristics from a signal evolution produced in response to an automatically generated pulse sequence.

Abstract: A magnetic resonance fingerprinting (“MRF”) framework that implements simultaneous multislice acquisition techniques with a Hadamard RF-encoding to simultaneously acquire magnetic resonance data from multiple slices simultaneously is described. As one non-limiting example, magnetic resonance data can be simultaneously acquired from four different slices. In other embodiments, however, the Hadamard encoding can be condensed into one or two acquisitions, rather than four.

Abstract: A system and method is provided for performing a magnetic resonance fingerprinting (MRF) study in the face of inhomogeneous magnetic fields. The process includes performing a balanced steady-state free precession (bSSFP) pulse sequence multiple times to acquire a multiple MRF datasets from at region of interest (ROI) in a subject, wherein performing the multiple bSSFP pulse sequences includes cycling through multiple phase patterns that differ across the multiple times. The process also includes comparing the multiple MRF datasets with a MRF dictionary to determine at least one tissue property indicated by each of the multiple MRF datasets, producing an aggregated indication of the at least one tissue property, and producing at least one map of the at least one tissue property using the aggregated indication of the at least one tissue property.

Abstract: The present disclosure provides a method of DDCE-MRF. The method can include: a) introducing two or more contrast agents to a region of interest (ROI) of a subject, the two or more contrast agents having different relaxivities; b) measuring a T1 relaxation time and a T2 relaxation time for locations within the ROI using magnetic resonance fingerprinting (MRF); c) determining, using equations that relate the different relaxivities, the T1 relaxation time, the T2 relaxation time, and concentrations of the two or more contrast agents, the concentrations of the two or more contrast agents for each of the locations within the ROI; and d) producing an image depicting the ROI based, at least in part, on the concentrations of the two or more contrast agents.

Abstract: Apparatus, methods, and other embodiments associated with NMR fingerprinting are described. One example NMR apparatus includes an NMR logic that repetitively and variably samples a (k, t, E) space associated with an object to acquire a set of NMR signals that are associated with different points in the (k, t, E) space. Sampling is performed with t and/or E varying in a non-constant way. The NMR apparatus may also include a signal logic that produces an NMR signal evolution from the NMR signals, and a characterization logic that characterizes a resonant species in the object as a result of comparing acquired signals to reference signals. The NMR signal evolution may be assigned to a cluster based on the characterization of the resonant species. Cluster overlay maps may be produced simultaneously based, at least in part, on the clustering. The clusters may be associated with different tissue types.

Abstract: An apparatus, a system, and a chip are provided for improving RF system performance in MRI systems. The apparatus includes a radio-frequency (RF) coil array disposed at least partially in a coil housing, where the RF coil array may include at least one coil configured to receive magnetic resonance (MR) RF signals. The apparatus also includes a mixer disposed in the coil housing and electronically connected to the RF coil array, where the mixer converts MR RF signals from the RF coil array to intermediate-frequency (IF) signals. An electronic amplifier is disposed in the coil housing. The electronic amplifier is electronically connected to the mixer and is configured to amplify IF signals from the mixer to amplified IF signals.

Abstract: The present disclosure relates to a method for performing phosphorous-31 spectroscopic magnetic resonance fingerprinting (MRF). The method comprises performing a pulse sequence using a series of varied sequence blocks to a volume in a subject where the volume contains phosphate metabolites. A series of signal evolutions are acquired from the volume in the subject to form MRF data. The MRF data is then compared to simulated MRF signal to determine parameters associated with phosphate metabolites and the chemical exchange rates between these metabolites. These parameters and exchange rates can be used in diagnosing a metabolic disorder in a subject.

Abstract: A semiconductor device includes a floating buried doped region, a first doped region disposed between the floating buried doped region and a first major surface, and a semiconductor region disposed between the floating buried doped region and a second major surface. A trench isolation structure extends from the first major surface and terminates within the semiconductor region and the floating buried doped region abuts the trench isolation structure. A second doped region is disposed in the first doped region has an opposite conductivity type to the first doped region. A first isolation device is disposed in the first doped region and is configured to divert current injected into the semiconductor device from other regions thereby delaying the triggering of an internal SCR structure. In one embodiment, a second isolation structure is disposed within the first doped region and is configured to disrupt a leakage path along a sidewall surface of the trench isolation structure.