Abstract:
The invention provides for a medical system (100, 300, 400, 500) comprising: a memory (110) for storing machine executable instructions (150) and a processor (104) for controlling the medical system. Execution of the machine executable instructions cause the processor to: receive (200) first electric properties tomography data (152) descriptive of a first spatially dependent mapping (166) of an RF electrical property within a region of interest (310) of a subject (318), wherein the RF electrical property is a real valued permittivity or real valued conductivity; receive (202) second electric properties tomography data (154) descriptive of a second spatially dependent mapping (168) of the spatially dependent RF electrical property within the region of interest of the subject; calculate (204) a change (160) in the spatially dependent RF electrical property derived from a difference between the first electric properties tomography data and the second electric properties tomography data; and calculate (206) a spatially dependent ablation map (164) by indicating regions within the region of interest where the change in the spatially dependent RF electrical property is above a predetermined threshold.
Abstract:
Dipolantennenanordnung (1), bei der mindestens zwei Dipolantennen (4, 5) mechanisch, jedoch nicht elektrisch, miteinander verbunden sind, wobei sich die Dipolantennen an einem Kreuzungspunkt kreuzen und vom Kreuzungspunkt ausgehend Dipolantennenarme (2a, 2b) ausbilden wobei die Dipolantennenarme in einem Halbraum angeordnet sind.
Abstract:
Methods and systems for determining whether brain tissue is indicative of a disorder, such as a neurodegenerative disorder, are provided. The methods and systems generally utilize data processing techniques to assess a level of congruence between measured parameters obtained from magnetic resonance imaging (MRI) data and simulated parameters obtained from computational modeling of brain tissues.
Abstract:
The invention relates to a medical imaging system comprising a magnet unit (20) embodied for magnetic resonance imaging of an examination object and a first radiation unit (30) embodied to irradiate the examination object, wherein the magnet unit comprises a main magnet and a first housing, wherein the main magnet is arranged inside the first housing and wherein the main magnet comprises coil elements and at least one coil carrier. The magnet unit furthermore defines an examination opening (90) along an examination axis such that the magnet unit surrounds the examination opening. The magnet unit furthermore comprises a first region that is transparent to radiation from the first radiation unit emitted radially to the examination axis. The first radiation unit is furthermore arranged on the side of the magnet unit facing away from the examination opening and embodied to emit radiation through the first region of the magnet unit in the direction of the examination opening. The first radiation unit is furthermore embodied to rotate about the examination opening.
Abstract:
In Magnetic Resonance Acoustic Radiation Force Imaging (MR-ARFI), an MR imaging device (10) performs gradient echo imaging including successive MR dynamics with opposite encoding of displacement to generate MR-ARFI data of a subject comprising successive image frames with opposite displacement encoding. An ultrasound device (12) applies sonication to the subject during the gradient echo imaging. An electronic processor (22) performs MR-ARFI data processing applied to image elements at image frames of the MR-ARFI data. A displacement is computed (30) for the image element at the image frame as proportional to a phase difference between the image element in the image frame and the image element in a succeeding or preceding image frame with opposite displacement encoding. The computed displacement is corrected (32) for a temperature change between the image frame and the succeeding or preceding image frame. The temperature change is determined using the MR-ARFI data.
Abstract:
Systems and methods are described herein for modeling neural architecture. Regions of interest of a brain of a subject can be identified based on image data characterizing the brain of the subject. The identified regions of interest can be mapped to a connectivity matrix. The connectivity matrix can be a weighted and undirected network. A multivariate transformation can be applied to the connectivity matrix to transform the connectivity matrix into a partial correlation matrix. The multivariate transformation can maintain a positive definite constraint for the connectivity matrix. The partial correlation matrix can be transformed into a neural model indicative of the connectivity matrix.
Abstract:
During operation, a system may apply a polarizing field and an excitation sequence to a sample. Then, the system may measure a signal associated with the sample for a time duration that is less than a magnitude of a relaxation time associated with the sample. Next, the system may calculate the relaxation time based on a difference between the measured signal and a predicted signal of the sample, where the predicted signal is based on a forward model, the polarizing field and the excitation sequence. After modifying at least one of the polarizing field and the excitation sequence, the aforementioned operations may be repeated until a magnitude of the difference is less than a convergence criterion. Note that the calculations may be performed concurrently with the measurements and may not involve performing a Fourier transform on the measured signal.
Abstract:
Disclosed are methods and systems for ultrashort echo time magnetization transfer (UTE- MT) imaging and signal modeling to quantify the different proton groups, including free water, bound water and macromolecule protons in short T2 tissues such as the menisci, ligaments, tendons and cortical bone. UTE-MT images with a series of MT frequency offsets and MT power are subject to MT modeling to evaluate T1s, T2s, fractions and exchange rates of bound water, free water and macromolecule protons.
Abstract:
The invention provides for a computer program product for calculating synthetic CT image (124). The computer program product comprises machine executable instructions (130) for execution by a processor (104). Execution of the machine executable instructions causes the processor to: receive (200) bone mineralization density data (114); receive (202) a magnetic resonance image (116) of a region of interest (309); calculate (204) an image segmentation (118) by segmenting the magnetic resonance image into a set of tissue types, wherein the set of tissue types comprises a cortical bone segmentation; calculate (206) a cortical bone Hounsfield value (120) using the bone mineralization density data; calculate (208) a Hounsfield unit mapping (122) by assigning at least one Hounsfield unit value to each of the set of tissue types in the image segmentation, wherein the cortical bone segmentation is assigned the cortical bone Hounsfield value; and calculate (210) the synthetic CT image using the Hounsfield unit mapping.
Abstract:
Various methods and systems are provided for correcting k-space trajectories. In one embodiment, a system comprises a coil configured to generate a magnetic field, a plurality of magnetic field probes positioned at the coil and configured to measure the magnetic field, and a controller communicatively coupled to the plurality of magnetic field probes and including instructions stored in non-transitory memory that when executed cause the controller to: receive measurements of the magnetic field from the plurality of magnetic field probes; calculate corrections to positions of acquired magnetic resonance signals in spatial-frequency space based on the received measurements; apply the corrections to the positions to generate corrected magnetic resonance signals; and reconstruct an image from the corrected magnetic resonance signals. In this way, image artifacts caused by eddy currents can be reduced.