General Electric Company

John Lawrence Seamans

Jiang Hsieh

Peter Michael Edic

Bruno Kristiaan Bernard De Man

Jean-Baptiste Thibault

Baojun Li

Roy-Arnulf Helge Nilsen

Gopal Biligeri Avinash

Kadri Nizar Jabri

Brian William Thomsen

Xingyang Tang

Roy-Amulf Helge Nilsen

A system, method, and apparatus includes a computed tomography (CT) system having a rotatable gantry, an x-ray source, a generator, a detector having pixels and positioned to receive x-rays, and a computer. The computer is programmed to acquire CT data representative of an object, determine a first subset of the CT data, determine a second subset of the CT data, and determine a difference between the first and second subsets of the CT data to identify a motion region in the object. The computer is also programmed to update image data reconstructed from a first portion of the first subset of the CT data and corresponding to the region and reconstruct an image based on the updated image data and non-updated image data. The non-updated image data is reconstructed from a second portion the first subset of the CT data.

System and method of increasing temporal resolution of an X-ray image

System and method of increasing temporal resolution of an x-ray image

Certain embodiments provide a radiation analysis system for material segmentation utilizing computed tomography (CT) scans. The radiation analysis system includes an input module configured to input dual energy data. The dual energy scanned data includes first data corresponding to a first parameter and second data corresponding to a second parameter for a given scanned volume. The radiation analysis system also includes a processor configured to generate a scatter plot based on the dual energy data. The first data corresponds to a first axis and the second data corresponds to a second axis. The processor is configured to identify at least one material type based on the scatter plot.

System and method for material segmentation utilizing computed tomography scans

A method includes performing a patient dependent view weighting of scan data.

View weighting methods and apparatus

Signal-adaptive noise reduction in digital radiographic images is described herein. Embodiments comprise methods for signal-adaptive noise reduction in digital radiographic images, comprising the steps of: obtaining raw x-ray image data of an imaged object; processing the raw x-ray image data to create processed x-ray image data; inputting at least one of the raw x-ray image data and the processed x-ray image data to an image processor; developing at least one of a first intensity modulation image from the raw x-ray image data and a second intensity modulation image from the processed x-ray image data; deriving a structure-dependent noise filtered image using the processed x-ray image data; performing signal attenuation-dependent blending; and creating a noise-reduced digital x-ray image therefrom. Computer-readable mediums encoded with programming for facilitating signal-adaptive noise reduction in digital radiographic images, and digital radiographic imaging systems comprising such programming, are also described.

Signal-adaptive noise reduction in digital radiographic images

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Ann Arbor, MI, United States of America

John Lawrence Seamans