Massachusetts Institute of Technology

Massachusetts General Hospital Corporation

International Business Machines Corporation

Siemens Aktiengesellschaft

Cadence Design Systems, Inc.

Siemens Healthcare Gmbh

New York University

Luca Daniel

Markus Vester

Lawrence Leroy Wald

Elfar Adalsteinsson

Bastien Guerin

José E Cruz Serralles

Zohaib Mahmood

Joel Reuben Phillips

Pin-Yu Chen

Daniel K Sodickson

Sijia Liu

Ian Butterworth

Jacob K White

Athanasios Polymeridis

Riccardo Lattanzi

Akhilan Boopathy

Tsui-Wei Weng

William Peter Hansen

Petra B Krauledat

Boris Keil

A system and method for measuring a hydration level in human tissue. The system includes a coaxial probe have a first end configured to be in contract with human tissue and configured to be emit and receive signals associated with a spectroscopic technique and having a second end adapted to be coupled to transmit and receive circuitry. The system further includes a patch or other means coupled to the coaxial probe and configured to be adhered to human tissue so as to provide a force upon at least a portion of the coaxial probe configured to be in contact with human tissue. In embodiments, the system may further include means coupled to receive signals from the coaxial probe, for determining an amount of liquid within a portion of human tissue in contact with the first end of the probe.

Non-invasive skin contact sensor

A certification method, system, and computer program product include certifying an adversarial robustness of a convolutional neural network by deriving an analytic solution for a neural network output using an efficient upper bound and an efficient lower bound on an activation function and applying the analytic solution in computing a certified robustness.

Framework for certifying a lower bound on a robustness level of convolutional neural networks

A plurality of stimulations is transmitted to tissue or other material using one or more transmitters. The plurality of signals associated with the excited tissue and the transmitted stimulations are measured. The measured signals are processed to generate field-related quantities, such as B1+ and/or MR signal maps. Field-related quantities are generated also from simulation, by calculating the one or more incident fields from a simulator model of the one or more transmitters and assuming a given distribution of electrical properties in the tissue or other material. Field-related quantities generated from simulation and experimental procedures are compared to each other. The assumed electrical properties distribution is updated and the procedure is repeated iteratively until the difference between simulated and experimental field-related quantities is smaller than a threshold.

Noninvasive determination of electrical properties of tissues and materials using magnetic resonance measurements

A method of determining a decoupling matrix of a decoupling system for an array of coils of a parallel transmission magnetic resonance imaging (MRI) system includes obtaining impedance matrix data for the array of coils without the decoupling system, determining, based on the impedance matrix data for the array of coils, an objective function representative of deviation from a decoupled operating condition for the array of coils in which the array of coils are decoupled via the decoupling system, and defining, with a processor, a decoupling matrix representative of a set of impedances of the decoupling system with an iterative procedure that optimizes elements of the decoupling matrix to minimize the objective function and reach the decoupled operating condition.

Decoupling of parallel transmission arrays in magnetic resonance imaging

A magnetic resonance imaging (MRI) system includes a plurality of transmitters to generate a parallel transmission radio frequency (RF) pulse, an array of coils coupled to the plurality of transmitters to apply the parallel transmission RF pulse to a subject, and a decoupling system connected to the plurality of transmitters and the array of coils. The decoupling system includes a plurality of hybrid couplers, each hybrid coupler of the plurality of hybrid couplers being coupled to a respective pair of the plurality of transmitters and to a respective pair of the array of coils. The plurality of hybrid couplers are configured to diagonalize an impedance matrix of the plurality of coils.

A reduced order model of a distributed time invariant system is produced by projecting system matrices onto smaller matrices, interpolating the matrices and placing into a state-space system. The system matrices are an internal representation of the distributed time invariant system which comprises a description of the system to be modeled, mainly, for example, its inputs and outputs. The method is applied to distributed systems and guarantees accuracy in complicated systems and produces well-behaved models appropriate for use in simulators and simulations.

Method and system for modeling distributed time invariant systems

Growing community of inventors

Cambridge, MA, United States of America

Luca Daniel