Ge Medical Systems Global Technology Company, LLC

General Electric Company

Riverain Medical Group, LLC

Carson Hale Thomas

Gopal Biligeri Avinash

Renuka Uppaluri

John Michael Sabol

Kadri Nizar Jabri

Amber Elaine Rader

Stephen Wayne Metz

Jiang Hsieh

Jeffrey Wayne Eberhard

Rowland F Saunders

Baojun Li

Christopher David Unger

Jyh-Shyan Lin

Edward A Martello

Tammy Michael Merisotis

Jianguo Zhao

Fleming Y M Lure

Gerald Paul Schulte

A method is disclosed, in a diagnostic medical environment, that enhances workflow while using a computer-aided-detection (or diagnosis) (CAD) system in the environment. The method comprises generating image data with a diagnostic medical imaging acquisition system. The image data is transmitted from the diagnostic medical imaging acquisition system to a computer-aided-detection (or diagnosis) (CAD) system and an archive/review station. Detection results are generated by processing the image data, using the CAD system, while storing and viewing the image data on the archive/review station. The detection results are transmitted from the CAD system to the archive/review station. The detection results are integrated with the image data by the archive/review station to form composite image data. The composite image data is displayed by the archive/review system.

Workflow for computer aided detection

A method, system, and storage medium for computer aided processing of an image set includes employing a data source, the data source including an image set acquired from X-ray projection imaging, x-ray computed tomography, or x-ray tomosynthesis, defining a region of interest within one or more images from the image set, extracting feature measures from the region of interest, and reporting at least one of the feature measures on the region of interest. The method may be employed for identifying bone fractures, disease, obstruction, or any other medical condition.

System and method for computer aided detection and diagnosis from multiple energy images

The presently described technology provides a tomosynthesis imaging system that comprises an x-ray tube and an anti-scatter grid. The x-ray tube is configured to emit x-rays from a plurality of positions during movement of the x-ray tube along a long axis of a mobile patient surface. The anti-scatter grid is configured to filter out scattered x-rays and includes a grid line parallel to the long axis of the mobile patient surface. The x-rays emitted from the plurality of positions are reconstructed into at least one image of at least one plane of a patient anatomy. The described technology is useful in emergency or trauma applications where a patient may be quickly and easily moved on a mobile patient surface to a position near an x-ray detector used in combination with the x-ray tube and anti-scatter grid.

System and method for cross table tomosynthesis imaging for trauma applications

A method and apparatus for using a flat panel detector to determine bone mineral density are provided. The apparatus includes a dual energy X-ray emitter, a flat panel detector for receiving X-rays sent from the X-ray emitter, and may optionally include an image corrector, adapted to emit corrected image information. The apparatus also includes a basis material decomposer that includes a calibration database, the decomposer being adapted to create a bone image and a soft tissue image. The apparatus further includes a bone mineral density calculator that is adapted to compute bone mineral density from the first image, and a display for displaying at least the computed bone mineral density. A method for using a flat panel detector to detect multiple disease states is also provided. The method includes emitting X-rays from a dual energy X-ray source through an area of a patient's body sought to be imaged and receiving X-rays with a flat panel detector. The method also includes generating multiple images, using dual energy X-ray absorptiometry, to detect for a first disease state and a second disease state and analyzing the images for the first and second disease states. The first disease state includes lung cancer, breast cancer, pneumonia, chronic obstructive pulmonary disease, tuberculosis, bone fracture or an abnormally sized or shaped organ and the second disease state comprises osteoporosis.

Method and apparatus to determine bone mineral density utilizing a flat panel detector

Computer aided diagnosis of an image set

A method, system, and storage medium for computer aided processing of dual or multiple energy images includes employing a data source, the data source including a dual or multiple energy image set, defining a region of interest within one or more images from the dual or multiple energy image set, extracting a set of feature measures from the region of interest, and employing a feature extraction algorithm on the feature measures for identifying an optimal set of features. The method may be employed for identifying bone fractures, disease, obstruction, or any other medical condition.

Computer aided diagnosis from multiple energy images

A method for detecting an anomaly includes performing a computed tomography (CT) scout scan to obtain data, and supplying the obtained data to a radiographic computer aided detection (CAD) algorithm.

Methods and apparatus for anomaly detection

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Brookfield, WI, United States of America

Carson Hale Thomas