General Electric Company

Ge Medical Systems Global Technology Company, LLC

Ge Precision Healthcare LLC

Ge Healthcare As

Robert F Senzig

Jiang Hsieh

David Michael Hoffman

Peter Michael Edic

John Eric Tkaczyk

James Walter LeBlanc

Xiaoye Wu

Yanfeng Du

Darin Robert Okerlund

Steven James Gray

Thomas L Toth

Bruno Kristiaan Bernard De Man

Hui Hu

James Vradenburg Miller

David Allen Langan

Sandeep Dutta

Rahul Bhotika

Stanley Haim Fox

Hui David He

Bijan Dorri

Saad Ahmed Sirohey

Jerome F Knoplioch

Guy M Besson

Paul Edgar Licato

Kai Erik Thomenius

Giridhar Jothiprasad

Basel Hasan Taha

Prem Venugopal

John Irvin Jackson

Srikanth Suryanarayanan

Robert Harry Armstrong

Ravikanth Avancha

Fazle Ali

Gary R Strong

Steven Christopher Davis

Jeffrey Brian Fowlkes

Toshihiro Rifu

Shawn P Faessler

Ertugrul Berkcan

Samit Kumar Basu

Mark Ernest Vermilyea

Jing Zhao

David Leo McDaniel

Jed Douglas Pack

Yizhen Lin

Charles William Stearns

Rakesh Mullick

Vasile Bogdan Neculaes

Abdelaziz Ikhlef

Marco Francesco Aimi

Jianying Li

Colin Richard Wilson

Jeffrey Alan Kautzer

Vance Scott Robinson

Alexander Ganin

Naveen Stephan Chandra

Bruce Matthew Dunham

Jonathan Richard Schmidt

Yannan Jin

Ricardo Scott Avila

William Robert Ross

Dan Xu

Lin Fu

Holly A McDaniel

Paavana Sainath

Deborah Joy Walter

Hao Lai

Christopher David Unger

Jason Stuart Katcha

Erik Kemper

Phil E Pearson, Jr

Armin H Pfoh

Steven John Woloschek

James A Blake

Yogisha Mallya

Xiaodong Tao

Jonathan Alan Murray

Thomas Matthew Benson

Adam Gregory Pautsch

Vidya Pundalik Kamath

Kelly Lynn Karau

Willi W Hampel

George E Seidenschnur

Mukta Chandrashekhar Joshi

Mark Kenneth Limkeman

James H Kaufman

Wesley David Turner

Min Xie

Danielle Drummond

Arunabha Shasanka Roy

Ajay Gopinath

Ting-Yim Lee

Priya Gopinath

Sholom M Ackelsberg

Girish Saligram

Robert James Young

Sergiy Zalyubovsky

Carlos F Guerra

Hui He

Paulo Ricardo (dos Santos) Mendonca

Various methods and systems are provided for stationary computed tomography (CT) imaging. In one embodiment, a stationary CT system includes one or more detector arrays extending around at least a portion of an imaging volume, a stationary distributed x-ray source unit comprising a plurality of emitters including a first set of emitters configured to operate at a first voltage and a second set of emitters configured to operate at a second voltage, different than the first voltage, and a source controller for triggering the first set of emitters for acquiring first projection data by the one or more detector arrays and triggering the second set of emitters for acquiring second projection data by the one or more detector arrays, the first projection data and the second projection data usable to reconstruct one or more basis material composition images or monochromatic images of an object within the imaging volume.

Systems and methods for a stationary CT imaging system

A system and method for estimating vascular flow using CT imaging include a computer readable storage medium having stored thereon a computer program comprising instructions, which, when executed by a computer, cause the computer to acquire a first set of data comprising anatomical information of an imaging subject, the anatomical information comprises information of at least one vessel. The instructions further cause the computer to process the anatomical information to generate an image volume comprising the at least one vessel, generate hemodynamic information based on the image volume, and acquire a second set of data of the imaging subject. The computer is also caused to generate an image comprising the hemodynamic information in combination with a visualization based on the second set of data.

System and method for estimating vascular flow using CT imaging

Methods and systems are provided for detecting patient motion during a diagnostic scan. In one example, a method for a medical imaging system includes obtaining output from one or more patient monitoring devices configured to monitor a patient before and during a diagnostic scan executed with the medical imaging system, receiving a request to initiate the diagnostic scan, tracking patient motion based on the output from the one or more patient monitoring devices, and initiating the diagnostic scan responsive to patient motion being below a threshold level.

Systems and methods for detecting patient state in a medical imaging session

Approaches for assessing hemodynamic characteristics for an organ of interest are related. In one implementation, a fluid dynamics model may be provided with data derived from an anatomic imaging modality and blood flow information derived by ultrasound to derive the desired hemodynamic characteristics. In one such implementation, a fractional flow reserve is estimated.

Fractional flow reserve estimation

X-ray imaging systems are provided that include an X-ray source and an X-ray detector. A filtering device is positioned between the X-ray source and the X-ray detector and includes one or more micro-filters each adapted to transition between an X-ray filtering position and an X-ray non-filtering position. A controller is programmed to control operation of the micro-filters.

Systems and methods for X-ray imaging

The present disclosure relates to the performing spectral calibration of a CT imaging system. In accordance with certain embodiments, spectral calibration phantoms are scanned while positioned on a table in the imaging volume of the CT imaging system. The scans of the calibration phantoms, in conjunction with air sans performed on the CT imaging system, are used to derive information about the deviation of the measured phantom scans from an ideal. The deviation information is in turn used to derive spectral calibration vectors that may be used with the CT imaging system.

CT spectral calibration

A CT system includes a gantry, an x-ray source configured to project x-rays toward an object, an x-ray detector positioned to receive x-rays from the x-ray source that pass through the object, a generator configured to energize the x-ray source to a first voltage and to a second voltage that is distinct from the first voltage, and a controller configured to cause the gantry to position the source and generator at a circumferential position during an imaging session, pass the object through the opening during the imaging session, cause the generator to energize the x-ray source to the first voltage and to the second voltage, acquire imaging data while the generator energizes the x-ray source to the first voltage and to the second voltage while the rotatable gantry is at the circumferential position, and generate an image using the imaging data.

Apparatus and method for spectral projection imaging with fast KV switching

The present disclosure relates to the generation of dual-energy X-ray data using a data sampling rate comparable to the rate utilized for single-energy imaging. In accordance with the present technique a reduced kVp switching rate is employed compared to conventional dual-energy imaging. Full angular resolution is achieved in the generated images.

Dual-energy imaging at reduced sample rates

A computed tomography (CT) detector array includes a central region substantially symmetric about a central axis thereof and includes a first plurality of x-ray detector cells configured to acquire CT data from a first number of detector rows during a scan, wherein the central axis is in a channel direction of the CT detector array and transverse to a slice direction of the CT detector array. A first wing is coupled to a first side of the central region, and a second wing is coupled to a second side of the central region opposite the first side. The first and second wings include respective second and third pluralities of x-ray detector cells and are each configured to acquire CT data from a number of detector rows that is less than the first number of detector rows. The CT detector array is asymmetric about the central axis of the central region.

Asymmetric de-populated detector for computed tomography and method of making same

A method of imaging comprises performing a scout image of an object and aligning major regions of interest within the object by comparing the scout image with a pre-determined atlas image. In a further embodiment, a method of imaging using a computed tomography (CT) scanner is provided and comprises performing a scout image of a subject and aligning major anatomical regions of interest within the subject by comparing the scout image with a pre-determined atlas image. Further, an imaging system for us with a computed tomography (CT) imaging device is provided and comprises a processor configured to perform aligning major anatomical regions of interest within a subject by comparing a scout image with a pre-determined atlas image, and wherein the major anatomical regions are used for automated localization for Scan Range and/or Exam split.

System and method for automated patient anatomy localization

A method of identifying one or more occlusions in vasculature located in a region of interest, includes extracting vasculature from the region of interest; identifying a subject geometry of the extracted vasculature; and comparing the subject geometry to a predetermined geometry to identify a blockage. A device for identifying one or more occlusions in vasculature located in a region of interest is also presented.

Device and method for identifying occlusions

Methods and apparatus for x-ray imaging with focal spot deflection are provided. The apparatus includes an x-ray tube having a cathode configured to emit electrons and an anode having a target with a target surface defining a target angle. The emitted electrons are deflected onto the target surface with the target surface substantially aligned with a z-axis parallel to a gantry rotation axis.

Methods and apparatus for x-ray imaging with focal spot deflection

A diagnostic imaging system in an example comprises a high frequency electromagnetic energy source, a detector, a data acquisition system (DAS), and a computer. The high frequency electromagnetic energy source emits a beam of high frequency electromagnetic energy toward an object to be imaged and be resolved by the system. The detector receives high frequency electromagnetic energy emitted by the high frequency electromagnetic energy source. The DAS is operably connected to the detector. The computer is operably connected to the DAS and programmed to employ an inversion table or function to convert N+2 measured projections at different incident spectra into material specific integrals for N+2 materials that comprise two non K-edge basis materials and N K-edge contrast agents. N comprises an integer greater than or equal to 1.

Diagnostic imaging two non K-edge basis materials plus N K-edge contrast agents

Growing community of inventors

Germantown, WI, United States of America

Robert F Senzig