General Electric Company

Ge Precision Healthcare LLC

Priti Madhav

Jiahua Fan

Jed Douglas Pack

Darin Robert Okerlund

Uwe Wiedmann

Bradley Jay Gabrielse

Mark Vincent Profio

Mingye Wu

Zhoubo Li

Jean-Francois Larroux

Ryan James Lemminger

Scott Slavic

Eric Biehr

Vijay Subramanian

Ming Yan

Ken Arai

Rajeshwari Karthikeyan

Kentaro Ogata

A method includes acquiring a first dataset of projection measurements at a first energy spectrum and a second dataset of projection measurements at a second energy spectrum different from the first energy spectrum by switching between acquiring the first dataset for a set number of consecutive views at different projection angles at the first energy spectrum and acquiring the second dataset for the set number of consecutive views at different projection angles at the second energy spectrum. The set number of consecutive views is greater than one. The method includes supplementing both the first dataset with estimated projection measurements at the first energy spectrum and the second dataset with estimated projection measurements at the second energy spectrum to provide missing projection measurements at different projection angles not acquired during the imaging scan for the first dataset and the second dataset.

System and method for utilizing dual energy imaging in a computed tomography imaging system

Methods and systems are provided for dual energy imaging. In one embodiment, a method for a dual energy imaging system comprises determining a first tube potential and a second tube potential according to a size of a subject, and controlling the dual energy imaging system with the first tube potential and the second tube potential to generate lower energy x-rays and higher energy x-rays respectively to image the subject. In this way, image quality may be increased while minimizing dose during dual energy imaging of a particular imaging subject.

Systems and methods for automatic tube potential selection in dual energy imaging

An imaging system includes a computed tomography (CT) acquisition unit and a processing unit. The CT acquisition unit includes an X-ray source and a CT detector. The processing unit is configured to determine a voltage delivery configuration for the X-ray source based on at least one of a patient size, a clinical task, or scan parameters. The voltage delivery configuration includes at least one of a transition configuration or a voltage threshold. The transition configuration corresponds to a transition between a high voltage and a low voltage. Portions of acquired data acquired above the voltage threshold are grouped as high energy data and portions acquired below the voltage threshold are grouped as low energy data. The processing unit is also configured to implement the voltage delivery configuration on the CT acquisition unit, and to control the CT acquisition unit to perform an imaging scan using the determined voltage delivery configuration.

Systems and methods for dual-energy computed tomography imaging

Systems and methods are provided that receive a clinical identifier, an acquisition condition target, and one or more patient characteristics. The systems and methods further generate a scan attribute based on the clinical identifier. The scan attribute corresponding to characteristics of a resultant medical image. The systems and methods determine select scan settings from a plurality of scan settings based on the scan attribute and the one or more patient characteristics, and calculate candidate acquisition conditions associated with the select scan settings. Further, the systems and methods identify one of the select scan settings as a scan prescription based on a relation between the candidate acquisition conditions and the acquisition condition target.

Systems and methods for guided selection of acquisition parameters for medical imaging

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Waukesha, WI, United States of America

Priti Madhav