Hyperfine Operations, Inc.

Systems and methods for operating a magnetic resonance imaging (MRI) system are provided. The MRI system includes a magnetics system and a power system configured to provide power to at least some of the magnetics system. The power system includes an energy storage device and a power supply configured to receive mains electricity. The MRI system also includes at least one controller configured to control the MRI system to operate in accordance with a pulse sequence at least in part by generating, by using power supplied by the power supply and supplemental power supplied by the energy storage device, at least one gradient field using at least one gradient coil of the magnetics system.

According to some aspects, a magnetic resonance imaging system capable of imaging a patient is provided. The magnetic resonance imaging system comprising at least one B0 magnet to produce a magnetic field to contribute to a B0 magnetic field for the magnetic resonance imaging system and a member configured to engage with a releasable securing mechanism of a radio frequency coil apparatus, the member attached to the magnetic resonance imaging system at a location so that, when the member is engaged with the releasable securing mechanism of the radio frequency coil apparatus, the radio frequency coil apparatus is secured to the magnetic resonance imaging system substantially within an imaging region of the magnetic resonance imaging system.

Systems and methods for training a machine-learning model to generate denoised and dealiased image data are provided. The present disclosure provides techniques for training a machine-learning (ML) model to generate denoised and dealiased imaging data. A method includes (1) training a first ML model using a first training dataset comprising first image data to obtain a second ML model; and (2) training (a) the second ML model or (b) a third ML model using a second training dataset to obtain a fourth ML model. The second training dataset includes (i) the first image data and (ii) training image data obtained by applying at least one of the second ML model or the third ML model to second image data. The denoising and dealiasing ML model may be either the fourth ML model or derived from the fourth ML model.

An apparatus for providing a B 0 magnetic field for a magnetic resonance imaging system. The apparatus includes at least one permanent B 0 magnet to contribute a magnetic field to the B 0 magnetic field for the MRI system and a ferromagnetic frame configured to capture and direct at least some of the magnetic field generated by the B 0 magnet. The ferromagnetic frame includes a first post having a first end and a second end, a first multi-pronged member coupled to the first end, and a second multi-pronged member coupled to the second end, wherein the first and second multi-pronged members support the at least one permanent B 0 magnet.

A magnetic resonance (MR) imaging system, comprising a magnetics system having a plurality of magnetics components configured to produce magnetic fields for performing magnetic resonance imaging, and a sensor configured to detect electromagnetic interference conducted by a patient into an imaging region of the MR imaging system. The sensor may comprise at least one electrical conductor configured for electrically coupling to the patient. The MR imaging system may further comprise a noise reduction system configured to receive the electromagnetic interference from the sensor and to suppress electromagnetic interference in detected MR signals received by the MR imaging system based on the electromagnetic interference detected by the sensor.

An apparatus for providing a B 0 magnetic field for a magnetic resonance imaging system. The apparatus includes at least one first B 0 magnet configured to produce a first magnetic field to contribute to the B 0 magnetic field for the magnetic resonance imaging system, the at least one first B 0 magnet comprising a first plurality of permanent magnet rings including at least two rings with respective different heights.

A radio frequency apparatus is described herein for facilitating imaging of a patient positioned within a magnetic resonance imaging system comprising a B 0 magnet. The radio frequency apparatus may be configured to detect magnetic resonance signals emitted from anatomy of a patient when positioned within a low-field magnetic resonance imaging system, the radio frequency apparatus comprising a flexible substrate capable of being positioned about the anatomy of the patient and a plurality of radio frequency coils coupled to the flexible substrate, each of the plurality of radio frequency coils forming a plurality of turns.

Aspects relate to providing radio frequency components responsive to magnetic resonance signals. According to some aspects, a radio frequency component comprises at least one coil having a conductor arranged in a plurality of turns oriented about a region of interest to respond to corresponding magnetic resonant signal components. According to some aspects, the radio frequency component comprises a plurality of coils oriented to respond to corresponding magnetic resonant signal components. According to some aspects, an optimization is used to determine a configuration for at least one radio frequency coil.

A radio frequency (RF) coil apparatus is described herein for facilitating imaging of a patient positioned within a magnetic resonance imaging (MRI) system, the MRI system comprising a B 0 magnet. The apparatus may comprise a frame comprising a first plate and a second plate disposed opposite the first plate; and an RF transmit coil comprising a plurality of conductors connected in series, the plurality of conductors being would around the frame and forming a plurality of turns. According to some aspects, there is provided an MRI system configured to image a patient positioned within the MRI system, the MRI system comprises a B 0 magnet that produces a B 0 magnetic field and the RF coil apparatus.

Techniques are described for controlling components of a Magnetic Resonance Imaging (MRI) system with a single controller, such as a Field Programmable Gate Array (FPGA), by dynamically instructing the controller to issue commands to the components using a processor coupled to the controller. According to some aspects, the controller may issue commands to the components of the MRI system whilst actively receiving commands from the processor to be later issued to the components.