The present disclosure is directed to a motor for a magnetic resonance (MR) tomography room, to a patient table for the MR room, to a MR elastography device, and to a MR tomography device. A MR tomography device for a MR elastography imaging protocol is arranged within the MR tomography room, and includes a rotational drive for supplying rotational energy to power a MR elastography transducer usable during the MR elastography imaging protocol, and a support structure. The rotational drive comprises a terminal for connecting the MR elastography transducer to the rotational drive, and a bearing means configured such that the position of the terminal relative to the support structure is adaptable along a trajectory predetermined by the bearing means. The rotational drive is mounted to the support structure via the bearing means.

In some embodiments, the present disclosure discloses a magnetic resonance (MR) phantom. The MR phantom includes a housing, a base medium disposed within the housing, and one or more compartment extending through the base medium, the one or more compartment comprising a crosslinked acrylamide-based polymer. The MR phantoms may be used as calibration phantoms for magnetic resonance elastography sequences and diffusion weighted images.

Disclosed herein are example embodiments of devices, systems, and methods for mechanical fractionation of biological tissue using magnetic resonance imaging (MRI) feedback control. The examples may involve displaying an image representing first MRI data corresponding to biological tissue, and receiving input identifying one or more target regions of the biological tissue to be mechanically fractionated via exposure to first ultrasound waves. The examples may further involve applying the first ultrasound waves and, contemporaneous to or after applying the first ultrasound waves, acquiring second MRI data corresponding to the biological tissue. The examples may also involve determining, based on the second MRI data, one or more second parameters for applying second ultrasound waves to the biological tissue, and applying the second ultrasound waves to the biological tissue according to the one or more second parameters.

Systems and methods for magnetic resonance elastography (MRE) are disclosed. In one embodiment, MRE data corresponding to mechanical waves in tissue of interest of a subject is acquired. The MRE data is associated with stiffness of the tissue. The method also includes generating, based on the MRE data, a stiffness map representing stiffness of the tissue. Generating the stiffness map includes performing an unconstrained optimization cost function that is configured to reduce noise in the acquired MRE data and achieve inversion of the reduced-noise data.

Methods and system for characterizing ligament properties using elastography are disclosed. An ultrasound system capable of performing shear wave elasticity imaging and/or supersonic shear imaging may retrieve one or more images from a proposed surgical site. The one or more images may be provided to a surgical planning system that identifies one or more properties of ligaments proximate to the surgical site. Musculoskeletal simulations may be performed using the identified properties to preoperatively identify a surgical plan. Preoperative identification of a surgical plan may enable a surgeon to select from more fine-tuning options for a joint replacement than conventional systems.

A magnetic resonance (MR) system configured to acquire MR data from a subject using a set of waveform and pulse sequence commands to prepare a first state of vibration of the one or more hardware elements and/or the subject. Preparing includes generating the vibration matching gradient inducing the first vibrations of the one or more hardware elements and/or the subject, while the net magnetization vector of the subject is aligned along the longitudinal axis of the main magnetic field. The MR system is configured to acquire the MR data by generating at least two spin manipulating gradients for manipulating phases of nuclear spins within the subject. A vibration matching gradient is used for matching with the first state of vibration with the second state of vibration.

In accordance with some embodiments, systems, methods, and media for estimating a mechanical property based on a transformation of magnetic resonance elastography (MRE) data using a trained artificial neural network are provided. In some embodiments, a system is provided, the system comprising: a hardware processor programmed to: receive displacement data of tissue in vivo; provide the displacement data to a trained ANN that was trained using noisy input datasets as training data, and derivative datasets corresponding to the noisy input datasets to evaluate performance during training, such that the trained ANN provides an output dataset corresponding to an analytical solution to a derivative of a function represented in an unlabeled input dataset thereby transforming the unlabeled input dataset into its derivative; receive, from the trained ANN, an output dataset indicative of a derivative of the displacement data; and estimate stiffness of the tissue based on the derivative.

The present disclosure is directed to techniques for synchronizing a rotational eccentric mass of a gravitational transducer used for a magnetic resonance elastography acquisition with a corresponding magnetic resonance elastography scan carried out by a magnetic resonance imaging system, wherein the rotation of the eccentric mass is driven by a shaft. The method includes starting the rotation of the eccentric mass at a set vibration frequency and the magnetic resonance elastography scan at a set acquisition frequency; determining the rotational position of the shaft; defining the rotational position as first reference position; calculating further reference positions. At the start time of each subsequent acquisition period, determining the current rotational position of the shaft; comparing the determined current rotational position with the theoretically expected reference position and decreasing or increasing the rotational speed of the rotational eccentric mass based on the comparison.

A fibrosis measurement device that measures fibrosis of a biological tissue non-invasively includes: a sound wave emitter that performs scanning over a surface of a biological tissue as a measurement object to emit sound waves; an electromagnetic wave receiver that receives an electromagnetic wave generated at each location of a biological tissue irradiated with sound waves; a signal extractor that extracts a signal indicating physical property, based on at least one selected from a group including the amplitude, phase, and frequency of an electromagnetic wave received by the electromagnetic wave receiver; an imaging unit that images signals extracted by the signal extractor; and an area comparison unit that compares the area of a portion of the two-dimensional image in which signals indicating a property are displayed, with an area corresponding to a preset threshold of the strength of the signals.

Described here are systems and methods for correcting motion-encoding gradient nonlinearities in magnetic resonance elastography (“MRE”). In general, the systems and methods described in the present disclosure compute gradient nonlinearity corrected displacement data based on information about the motion-encoding gradients used when acquiring magnetic resonance data.