General Electric Company

Daniel Eugene Meyer

Bruce Allan Hay

Alberto Santamaria-Pang

Brian Christopher Bales

Dmitry Vladimirovich Dylov

Michael Ernest Marino

Qing Li

Michael Todd Luttrell

Thomas Kwok-Fah Foo

Anup Sood

Michael John Gerdes

Andrew Soliz Torres

Luca Marinelli

Peter John Bonitatibus, Jr

Ying Zhou

Brian James Grimmond

Fiona Ginty

Christopher James Sevinsky

Amit Mohan Kulkarni

Dominic Michael Graziani

Yunxia Sui

Aritra Chowdhury

Chiaki Treynor

Bruce Allen Hay

The present approach relates to the use of trained artificial neural networks, such as convolutional neural networks, to classify vascular structures, such as using a hierarchical classification scheme. In certain approaches, the artificial neural network is trained using training data that is all or partly derived from synthetic vascular representations.

Methods of systems of generating virtual multi-dimensional models using image analysis

The subject matter of the present disclosure generally relates to techniques for image analysis. In certain embodiments, various morphological or intensity-based features as well as different thresholding approaches may be used to segment the subpopulation of interest and classify object in the images.

Systems and methods for automatic generation of training sets for machine interpretation of images

Magnetic material imaging (MMI) system including first and second sets of field-generating coils. Each of the field-generating coils of the first and second sets has an elongated segment that extends along an imaging axis of the medical imaging system. The imaging axis extends through a region-of-interest (ROI) of an object. The elongated segments of the first set of field-generating coils are positioned opposite the elongated segments of the second set of field-generating coils and the ROI is located between the first and second sets of field-generating coils. The MMI system also includes a coil-control module configured to control a flow of current through the first and second sets of field-generating coils to generate a selection field and to generate a drive field. The selection and drive fields combine to form a movable 1D field free region (FFR) that extends through the ROI.

Systems and methods for magnetic material imaging

The present application discloses nanoparticles, particularly nanoparticles of superparamagnetic iron oxide, which find utility in iron therapy and diagnostic imaging such as magnetic resonance (MR). The disclosed nanoparticles have been treated with an &#x3b1;-hydroxyphosphonic acid conjugate containing polyethylene glycol as a hydrophilic moiety to render the nanoparticles sufficiently hydrophilic to find utility in diagnostic imaging. Among the modified hydrophilic nanoparticles disclosed are those in which the hydrophilic moieties of the modifying conjugate are polyethylene oxide-based polymers and have a molecular weight greater than 5,000 dalton and less than or equal to about 30,000 daltons. Surprisingly, these nanoparticles have a more rapid and complete processing in liver of retained nanoparticles when compared to similar nanoparticles in which the PEG-based hydrophilic moiety has a molecular weight less than 5,000.

Superparamagnetic nanoparticles with PEG substituted &#x3b1;-hydroxy phosphonate shells

A method of sterilizing a nanoparticle preparation at a high temperature is provided. A plurality of nanoparticles are purified to form the preparation, wherein the nanoparticles comprise at least a core and a shell and the shell comprises one or more ligand species attached to the core. The nanoparticle preparation is made by a purified nanoparticle composition, a carrier fluid and an excess of the one or more ligand species not attached to the core. The ligand species attached to the core and the excess ligand species added after purification are structurally identical. The nanoparticle preparation provided by the present invention may be used as contrast agents in medical imaging techniques such as X-ray and magnetic resonance imaging.

Heat stable nanoparticle preparations and associated methods thereof

Composition of non-radioactive traceable metal isotope-enriched nanoparticles, and methods of their use for determining in-vivo biodistribution are provided. The methods comprise the steps of: (a) introducing the nanoparticles into the biological material, wherein the nanoparticles comprise at least one inorganic core, and the inorganic core comprises at least two metal isotopes in a predetermined ratio; wherein at least one metal isotope is enriched non-radioactive traceable metal isotope and (b) determining the distribution of the nanoparticles in the biological material based on the predetermined ratio of the metal isotopes.

Non-radioactive traceable metal isotope-enriched nanoparticles and method of their use for determining biodistribution

Growing community of inventors

Rexford, NY, United States of America

Daniel Eugene Meyer