General Electric Company

Ge Medical Systems Global Technology Company, LLC

Ge Precision Healthcare LLC

Ge Medical Systems Global Technology, LLC

John Michael Sabol

Gopal Biligeri Avinash

Kadri Nizar Jabri

Renuka Uppaluri

Matthew Joseph Walker

Jiang Hsieh

Katelyn Rose Nye

Vianney Pierre Battle

Amber Elaine Rader

Jeffrey Wayne Eberhard

Gireesha Chinthamani Rao

Cherik T Bulkes

Rowland F Saunders

Ravi Soni

John Patrick Kaufhold

Rajeev Ramankutty Marar

Carson Hale Thomas

Francois Serge Nicolas

Khaled Salem Younis

Bernhard Erich Hermann Claus

Yun Zou

Stephen Wayne Metz

Baojun Li

Hao Lai

Yash N Shah

Thomas L Toth

James Zhengshe Liu

Brian David Yanoff

David Allen Langan

Jianying Li

Biju Jacob

Nicholas Ryan Konkle

Aaron Judy Couture

Jon Charles Omernick

Scott William Robinson

Feng Chen

Lawrence Elwood Murphy

Chuande Liu

Kelly Lynn Karau

Mohamed Ali Hamadeh

German Guillermo Vera Gonzalez

Kelly Lynn Piacsek

Meghan Lynn Yue

Xianfeng Ni

Tammy Michael Merisotis

Teri Lynn Fischer

James Michael Gent

Maggie Mei-Kei Fung

Ferry Tamtoro

Tan Liu

Anila Lingamneni

David L Widmann

Christopher Aaron Paulik

François Hensen

Bruce Alan Bergendahl

Adam Ellis Boden

Guillermo Sander

Bernard E H Claus

Steven W Metz

Kadri Nazar Jabri

Matthew J Walker

An x-ray image laterality detection system is provided. The x-ray image laterality detection system includes a detection computing device. The processor of the computing device is programmed to execute a neural network model for analyzing x-ray images, wherein the neural network model is trained with training x-ray images as inputs and observed laterality classes associated with the training x-ray images as outputs. The process is also programmed to receive an unclassified x-ray image, analyze the unclassified x-ray image using the neural network model, and assign a laterality class to the unclassified x-ray image. If the assigned laterality class is not target laterality, the processor is programmed to adjust the unclassified x-ray image to derive a corrected x-ray image having the target laterality and output the corrected x-ray image. If the assigned laterality class is the target laterality, the processor is programmed to output the unclassified x-ray image.

Systems and methods for detecting laterality of a medical image

An x-ray image orientation detection and correction system including a detection and correction computing device is provided. The processor of the computing device is programmed to execute a neural network model that is trained with training x-ray images as inputs and observed x-ray images as outputs. The observed x-ray images are the training x-ray images adjusted to have a reference orientation. The processor is further programmed to receive an unclassified x-ray image, analyze the unclassified x-ray image using the neural network model, and assign an orientation class to the unclassified x-ray image. If the assigned orientation class is not the reference orientation, the processor is programmed to adjust an orientation of the unclassified x-ray image using the neural network model, and output a corrected x-ray image. If the assigned orientation class is the reference orientation, the processor is programmed to output the unclassified x-ray image.

Systems and methods for detecting and correcting orientation of a medical image

Some embodiments are associated with an X-ray source configured to generate X-rays directed toward an object, wherein the X-ray source is to: (i) generate a first energy X-ray pulse, (ii) switch to generate a second energy X-ray pulse, and (iii) switch back to generate another first energy X-ray pulse. A detector may be associated with multiple image pixels, and the detector includes, for each pixel: an X-ray sensitive element to receive X-rays; a first storage element and associated switch to capture information associated with the first energy X-ray pulses; and a second storage element and associated switch to capture information associated with the second energy X-ray pulse. A controller may synchronize the X-ray source and detector.

Fast dual energy for general radiography

An imaging system includes plural modular imaging detectors and a readout electronics unit. Each modular imaging detector includes pixels configured to collect imaging data, a substrate on which the pixels are disposed, and a mechanical interconnection feature. The mechanical interconnection feature is configured to cooperate with a corresponding mechanical interconnection feature of at least one other of the modular imaging detectors to directly join the modular imaging detector to the at least one other of the modular imaging detectors. The readout electronics unit is configured to be operably coupled to the modular imaging detectors and to receive signals corresponding to the imaging data from the modular imaging detectors.

Systems and methods for modular imaging detectors

In accordance with one aspect of the present system, a dual energy X-ray imaging system includes a communication module configured to receive a pre-shot image from a detection circuitry and receive one or more pre-shot parameters from a source controller of the dual energy X-ray imaging system. The dual energy X-ray imaging system further includes an analysis module configured to determine one or more image characteristics of the pre-shot image. The dual energy X-ray imaging system further includes a determination module configured to calculate a first and a second set of main-shot parameters based on the one or more pre-shot parameters and the one or more image characteristics of the pre-shot image. The determination module is further configured to send the one or more main-shot parameters to the source controller of the dual energy X-ray imaging system.

System and method for determining X-ray exposure parameters

An autonomous medical imaging system includes at least one autonomous imaging subsystem and at least one autonomous detection subsystem. The autonomous detection subsystem is configured to communicate with the autonomous imaging subsystem, and the autonomous imaging subsystem is configured to communicate with the autonomous detection subsystem.

Medical imaging system

Systems and methods are disclosed for managing autonomous detector and imager subsystems communicating as nodes on a network. In an embodiment, an application server is provided which coordinates use of the autonomous imager and detector subsystems so that appropriate combinations of imagers and detectors are used for particular imaging applications. In another embodiment, the performance of a detector subsystem may be automatically evaluated prior to use, such as by one or more automated routines that monitor or measure factors related to detector performance. Additional systems, methods, and devices are also disclosed.

Application server for use with a modular imaging system

A method includes automatically determining at least one gating signal based on a physiological signal from a subject being imaged by an imaging system, automatically determining, based upon prior analysis and knowledge of the imaging system's capabilities, a timing of each of a plurality of exposures within a single or multiple cycles of the physiologic signal, and performing the multiple acquisitions.

Methods and apparatus for gated acquisitions in digital radiography

A system and method for acquiring x-ray imaging data from a subject is disclosed. The x-ray imaging system includes a first support structure oriented in a vertical fashion and a second support structure oriented in a vertical fashion and spaced apart from the first support structure to define a scanning area configured to receive a subject to be scanned. A linear x-ray source is affixed to the first support structure on one side of the scanning area and is oriented in a vertical fashion, with the linear x-ray source configured to emit x-rays towards the subject. A linear detector arrangement is affixed to the second support structure on another side of the scanning area and is generally opposite the linear x-ray source. The linear detector arrangement is configured to receive x-rays after passing through the subject.

Walk-through imaging system having vertical linear x-ray source

A system and method for an improved digital X-ray radiographic tomosynthesis user interface and workflow. The system comprising a user interface providing a tomosynthesis reconstruction preference edit tool; a dose preference edit tool; a scout acquisition edit tool; a tomosynthesis acquisition edit tool; a retrospective reconstruction image processing edit tool; a slice image change auto forward edit tool; and an image annotation propogation edit tool.

System and method for a digital X-ray radiographic tomosynthesis user interface

Providing an operator with information concerning radiation dose associated with an imaging operation is disclosed. In certain embodiments, the dose information may be provided in conjunction with indicators related to reference dose levels to facilitate evaluation of the dose in the context of the reference levels. The dose information may be based on real-time assessment of dose or may be an expected dose based on a proposed or planned sequence of exposure events. Further the indication may be prospective, providing an indication to the operator of when certain dose thresholds may be crossed.

Dose level indication

A technique for reconciling two or more reads of an image data set. One or more computer implemented routines is employed to provide computer-assisted reconciliation (CAR) including resolution of discrepancies between the two or more reads. The computer-assisted reconciliation may optimally display the discrepancies, the concurrences and any associated information to a human reconciler, may resolve the discrepancies in a partially automated manner, or may resolve the discrepancies in a fully automated manner. The reconciled data may then be provided to an end user.

Computer-assisted reconciliation of multiple image reads

A method and a system are disclosed for operating an X-ray imaging subsystem with an X-ray imaging detector. Each subsystem may be one of many that could operate with one another to create X-ray images. An association is established between the imaging subsystem and the imaging detector, and a user-perceptible indication of the association is generated. The user may be prompted to confirm the association. Thereafter, the two subsystems may be used together for X-ray imaging. An X-ray source of the imaging subsystem may be disabled until the association is established or until the confirmation is received.

System and method for indicating association between autonomous detector and imaging subsystem

A mobile dual-energy X-ray imaging system is presented. The mobile dual-energy X-ray imaging system is a digital X-ray system that is designed both to acquire original image data and to process the image data to produce an image for viewing. The system has an X-ray source and a portable flat-panel digital X-ray detector. The system is operable to produce a high energy image and low energy image, which may be decomposed to produce a soft tissue image and a bone image for further analysis of the desired anatomy. The system is disposed on a carrier to facilitate transport. The imaging system has an alignment system for facilitating alignment of the flat-panel digital detector with the X-ray source. The imaging system also comprises an anti-scatter grid and an anti-scatter grid registration system for removing artifacts of the anti-scatter grid from images.

Image acquisition and processing chain for dual-energy radiography using a portable flat panel detector

Growing community of inventors

Sussex, WI, United States of America

John Michael Sabol