Mayo Foundation for Medical Education and Research

General Electric Company

Wisconsin Alumni Research Foundation

Richard L Ehman

Armando Manduca

Joel P Felmlee

Kiaran P McGee

Phillip J Rossman

Jun Chen

Joshua D Trzasko

John Huston, Iii

Kevin J Glaser

Meng Yin

Raja Muthupillai

Philip A Araoz

Arvin Forghanian-Arani

Matthew C Murphy

Yogesh K Mariappan

Yi Sui

Jonathan M Scott

Bogdan Dzyubak

Philip J Rossman

Stephen J Riederer

Matthew A Bernstein

James Fowler Greenleaf

Yunhong Shu

Stephen M Ansell

David S Lake

Thomas C Hulshizer

M Alex Dresner

Vijay H Shah

Yu L Liu

Zhuo F Fu

Yi Wang

Sudhakar K Venkatesh

Arunark Kolipaka

David A Woodrum

Taofic Mounajjed

Ziying Yin

David A Olsen

Jayant A Talwalkar

Anthony J Romano

Alina Allen

Eric C Ehman

Brian C Goss

Iii John Huston

John Huston Iii

Described here are systems and methods for a robust magnetic resonance elastography ('MRE') imaging platform for rapid dynamic 3D MRE imaging. The imaging platform includes an MRE pulse sequence and advanced image reconstruction framework that work synergistically in order to greatly expand the domains where MRE can be deployed successfully.

Continuous three-dimensional imaging for magnetic resonance elastography

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.

Systems, methods, and media for estimating a mechanical property based on a transformation of magnetic resonance elastography data using a trained artificial neural network

Magnetic resonance elastography ('MRE'), or other imaging-based elastography techniques, generate estimates of the mechanical properties, such as stiffness and damping ratio, of tissues in a subject. A machine learning approach, such as an artificial neural network, is implemented to perform an inversion of displacement data in order to generate the estimates of the mechanical properties.

Methods for estimating mechanical properties from magnetic resonance elastography data using artificial neural networks

The present disclosure relates to a system and method for non-invasively determining NAFLD activity scores (NAS) in patients using mechanical properties determined through magnetic resonance elastography (MRE) imaging. The non-invasively determined NAS score is then used to diagnose NFALD and NASH patients.

System and method for generating nonalcoholic fatty liver disease activity score (NAS) using magnetic resonance elastography

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.

Methods for correcting motion-encoding gradient nonlinearities in magnetic resonance elastography

Described here are systems and methods for evaluating the extent of brain-skull tethering, which may also be referred to as loss of trabecular reserve, in subjects using magnetic resonance elastography ('MRE'). The present disclosure describes a method for assessing progressive damage to arachnoid space ('SAS') trabeculae. The method generally includes measuring the relative movement between the brain and the skull using MRE. As one example, an MRE-based method named slip interface imaging (&#x201c;SII&#x201d;) can be implemented. By measuring trabecular reserve in subjects who have a history of prior head trauma, the susceptibility of a given subject to future injury can be assessed.

Methods for quantifying trabecular reserve using magnetic resonance elastography

Systems and methods for simultaneous water-fat magnetic resonance imaging ('MRI') and magnetic resonance elastography ('MRE') using an integrated data acquisition and reconstruction scheme are described. This integrated acquisition and reconstruction technique can mitigate motion misregistration and provide improved image SNR relative to existing multiparametric acquisition techniques that require multiple separate acquisitions.

System and method for simultaneous magnetic resonance elastography and water-fat imaging

A phantom for magnetic resonance elastography (MRE) is provided. In particular, systems and methods for a phantom that is capable of generating a wave-like pattern in MRE images where a wavelength of the generated wave-like pattern is controlled by the phantom geometry. The geometrically controlled wavelength enables the phantom to calibrate MRE image acquisition and mechanical property calculation.

Systems and methods for a magnetic resonance elastography phantom

An acoustic driver system for use in applying an oscillating stress to a subject undergoing a magnetic resonance elastography (MRE) examination includes a flexible passive driver located in the bore of the magnet and in contact with the subject. A remotely located active driver is acoustically coupled to the passive driver and produces acoustic energy in response to an applied current. The passive driver produces shear waves in response to the acoustic energy and are directed into the body of the subject undergoing the MRE examination.

Passive acoustic driver for magnetic resonance elastography

A system and method is provided for enhancing the detectability of objects in medical images. The method includes providing medical imaging data acquired using a medical imaging system, integrating dynamic noise with the imaging data to generate a modified set of images that achieves improved detection accuracy, and displaying the modified images.

Enhancing the detectability of objects in medical images

A system and method for determining a response of a tumor following a chemotherapy process includes the use of a magnetic resonance elastography (MRE) driver and a magnetic resonance imaging (MRI) system. The method includes controlling the MRE driver and the MRI system to acquire raw MRE data from the tumor, inverting the raw MRE data to produce an elastogram of the tumor, and determining a response of the tumor to the chemotherapy process from the elastogram.

System and method for assessing response to chemotherapy using magnetic resonance elastography

A method for magnetic resonance elastography ('MRE') is described, in which an MRE inversion that accounts for waves propagating in a finite, bounded media is employed. A vibratory motion is induced in a subject and MRE is performed to measure one or more components of the resulting displacement produced in the subject. This displacement data is subsequently filtered to provide a more accurate and computationally efficient method of inversion. Wave equations based on the geometry of the bounded media are then utilized to calculate the material properties of the subject. Such a method allows for the performance of MRE on tissues such as the heart, eye, bladder, and prostate with more accurate results.

Method for magnetic resonance elastography inversion using a finite medium model

A system and method for performing a magnetic resonance elastography (MRE) procedure using an MRI system to monitor operation of a medical device performing a medical procedure. The driver system includes a housing, a port located in the housing and connected to a driving power, and an inertial driver moved within the housing by the driving power. A passage is formed in the housing and extends from a first opening in the housing, through the inertial driver, and to a second opening in the housing. The inertial driver receives a medical device extending through the passage and engages the medical device to impart oscillatory motion thereto as the inertial driver is moved by the driving power. The imparted oscillatory motion travels along the medical device as a waveguide to deliver the oscillatory motion to tissue receiving the medical procedure to perform the MRE procedure.

System and method for inertial magnetic resonance elastography driver for use with interventional medical device

A flexible passive acoustic driver for use in an acoustic driver system which applies an oscillating stress to a subject undergoing a magnetic resonance elastography (MRE) examination which includes receiving acoustic pressure waves from an active driver through a tube and imparts pressure waves to a subject of an imaging procedure. In one configuration, the passive driver includes a flexible bag that forms the walls of an acoustic cavity, and a structure filling material located inside the acoustic cavity provides support for the flexible bag. The flexible bag conforms to the shape of the subject and may be held in place by an elastic band. The passive driver can have an integrated or detachable non-active push-on compartment which is rigid or semi-flexible to improve the human-driver mechanical coupling and the driver energy efficiency of converting acoustic pressure to mechanical vibration applied to a subject.

Flexible passive acoustic driver for magnetic resonance elastography

A system and method for generating a magnetic resonance elastography (MRE) report includes a) acquiring MRE data from a subject including positively motion encoded medical imaging data and negatively motion encoded medical imaging data and b) deriving uncorrected difference medical imaging data from the MRE data for a given slice. The method also includes c) filtering the uncorrected difference medical imaging data to create filtered medical imaging data corrected for errors associated with phase ramps occurring during gradient switching used to derive the positively motion encoded medical imaging data and negatively motion encoded medical imaging data, d) generating a corrected difference image for the given slice from the filtered medical imaging data and the uncorrected difference medical imaging data, e) repeating steps b) through d) for each slice reflected in the MRE data, and f) generating a report of elastic properties of the subject from the corrected difference image.

System and method for improved efficiency in magnetic resonance elastography

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Rochester, MN, United States of America

Richard L Ehman