Ge Medical Systems Global Technology Company, LLC

Ge Precision Healthcare LLC

John Fusco

Sharon Xiaorong Wang

Jiang Hsieh

Sandeep Dutta

Stephen Wayne Metz

Bradley Jay Gabrielse

John Howard Londt

Michael Sarju Vaz

David Joseph Pitterle

Ryan C Forbes

Mukta Chandrashekhar Joshi

Roy Arnulf Helge Nilsen

Robert Wolfe

Xiaoqing Guo

Ferry Tamtoro

Roy-Arnulf Helge Nilsen

Methods and systems are provided for adaptive scan control. In one embodiment, a method includes, upon an injection of a contrast agent, initiating a contrast scan of a subject according to a fallback scan prescription, processing acquired projection data of an anatomical region of interest (ROI) of the subject to measure a contrast signal of the contrast agent, identifying a peak in the contrast signal within a predetermined time frame, if the peak in the contrast signal is not identified within the predetermined time frame, updating the fallback scan prescription to generate an adapted scan prescription for the contrast scan based on the contrast signal, and performing a remainder of the contrast scan according to the adapted scan prescription, and if the peak in the contrast signal is not identified within the predetermined time frame, continuing the remainder of the contrast scan according to the fallback scan prescription.

Methods and systems for an adaptive perfusion scan

A method for reconstructing an image of an object includes generating a plurality of projection data, helically interpolating the projection data, rebinning the helically interpolated projection data from a fan-beam format to a parallel-beam format, and reconstructing an image of the object using the parallel-beam format projection data.

Methods and apparatus for reconstructing an image of an object

One aspect of the present invention is a method for reconstructing computed tomographic (CT) images. The method includes generating a plurality of projection data, calculating a plurality of base weights using the projection data for each series of images to be reconstructed, storing the base weights in an external memory, and applying a z-smoothing module to the base weights to determine a plurality of final weights. The view weighting process then includes applying the final weights to the projection data for each image.

Scan data correction view weighting of computed tomographic images

Helical rowwise view weighting of computed tomographic images

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Waukesha, WI, United States of America

John Fusco