Mayo Foundation for Medical Education and Research

Other

Kevin J Glaser

Richard L Ehman

Armando Manduca

Joshua D Trzasko

Phillip J Rossman

Kiaran P McGee

John Huston, Iii

Jun Chen

Meng Yin

Arvin Forghanian-Arani

Matthew C Murphy

Jonathan M Scott

Arunark Kolipaka

David A Woodrum

David A Olsen

John Huston Iii

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

A basketball training apparatus that is operable to simulate a defensive player for a user that is practicing their offensive skillset. The basketball training apparatus further includes a housing assembly having a lower portion and an upper portion that are perpendicularly secured. The housing assembly is moveably secured to a mounting block wherein the mounting block is disposed within the lower portion of the housing assembly. The housing assembly is operable to tiltably move from a first upright position to a second position wherein the upper portion is tilted towards the ground. A plurality of blocking members are releasably secured to the upper portion of the housing assembly extending outward therefrom. A visual inhibitor is movably coupled to the upper portion of the housing assembly and extends upwards therefrom. A frame is integrally secured to the mounting block and further includes a base having a wheel assembly.

Basketball training apparatus

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 dynamic magnetic resonance elastography ('MRE') method for quantifying liver stiffness using intrinsic transient waveforms imparted on the liver by the beating heart is provided. The method includes synchronizing motion-encoding gradients in an MRE pulse sequence to the subject's cardiac cycle.

Method for magnetic resonance elastography using transient waveforms

A system is configured to produce a stress on a subject while performing a magnetic resonance elastography scan in a magnetic resonance imaging (MRI) system. The system includes an active driver operable to produce an energy configured for a magnetic resonance elastography (MRE) process. A passive actuator is configured to be positioned in the MRI system and to be coupled to the subject. The system includes a tube coupling the active driver to the passive actuator to deliver the energy produced by the active driver to the passive actuator, and a strap coupled to the passive actuator. The strap is configured to be disposed around the subject. The strap includes a substantially inelastic material configured to convert the energy delivered to the passive actuator from the tube into shear waves with the subject for use in the MRE process.

Shear wave generation system for medical imaging

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Rochester, MN, United States of America

Kevin J Glaser