General Electric Company

Ge Medical Systems Global Technology Company, LLC

Ge Precision Healthcare LLC

Paul Edgar Licato

Saad Ahmed Sirohey

Graeme Colin McKinnon

Josef P Debbins

Jiang Hsieh

Darin Robert Okerlund

Rahul Bhotika

Lawrence E Ploetz

Tamanna Nanavaty Bembenek

Olga Imas

Gopal Biligeri Avinash

Peter Michael Edic

Robert F Senzig

Jerome F Knoplioch

Laurent Launay

Sandeep Dutta

Jason Andrew Polzin

Giridhar Jothiprasad

Mark Vincent Profio

Steven James Gray

Bernice Hoppel

John Irvin Jackson

William James Balloni

Bijan Dorri

Ravikanth Avancha

Brian William Thomsen

Mark T Radick

Toshihiro Rifu

Basel Taha

Qing Tan

Kevin Franklin King

Akira Hagiwara

Robert Steven Stormont

Joseph K Maier

Xiaohong Zhou

Bradley Jay Gabrielse

Steven D Wolff

Srikanth Suryanarayanan

Yogisha Mallya

Anton Max Linz

Max Wintermark

Matthieu Denis Ferrant

Mukta Chandrashekhar Joshi

Frederick H Epstein

Robert H Haworth

Karen Procknow

Beth Ann Heckel

Bo Pettersson

Kristine Gould

Vincent Adam

Sardar Gautham

Bob L Beckett

Scott Eugene Trevino

Beth E Slayman

Srinivas Aluri

Marcela Alejandra Gonzalez

Thierry Galas

Amy Lynette Broadie

Tracy Quayle Callister

Tara Janen Mahan

Ranjeeta Singh

Deepa Thomas

Giora Sat

Lawrence Edward Plo&eacute;tz

Paulo Ricardo Dos Santos Mendonça

James Kevin DeMarco

Suriyanarayana Venkatraman

Peter C Bosch

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

Systems, methods and apparatus are provided through which in some implementations changes in an aneurysm in a patient over time are identified by determining temporal differences between segmented aneurysms in a plurality of longitudinal exams and visually presenting the temporal differences.

Determining mechanical force on aneurysms from a fluid dynamic model driven by vessel blood flow information

A method for obtaining multi-material decomposition images of an object is presented. The method includes acquiring an image pair from a dual energy computed tomography scan of the imaged object. The method then includes selecting a material basis for multi-material decomposition of the image pair. The method further includes applying a physicochemical model for the material basis. Also, the method includes performing multi-material decomposition using at least one constraint imposed by the physicochemical model.

Multi-material decomposition using dual energy computed tomography

An image display system includes user configurable viewports for the review and analysis of image data. The user configurable viewports include a review viewport and an analysis viewport. The review viewport displays in a review mode, a plurality of image views of the image data. The analysis viewport displays in an analysis mode, a plurality of image views of the image data. The review viewport and the analysis viewport may be configured for simultaneous display of related image data.

Clinical review and analysis work flow for lung nodule assessment

A data processing technique is provided. In one embodiment, a computer-implemented method includes receiving a set of dynamic computed tomography image data from a computed tomography imaging system, registering the image data, applying a smoothing filter to at least a selection of the registered image data, and outputting the results. The smoothing filter may be, for example, a uniform filter, a triangular filter, a Gaussian filter, a median filter, a percentile filter, a Kuwahara filter, an anisotropic filter, or any combination thereof. Additional methods, systems, and devices are also disclosed.

Smoothing of dynamic data sets

A method of evaluating tissue of an organ includes performing at least one of classification processing and clustering processing to obtain a processed dataset to visualize at least one of the imaging agent, blood, the contrast agent, and the biomedical agent distribution in the tissue, a relative regional uptake of the at least one of the imaging agent, blood, the contrast agent, and the biomedical agent in the tissue, relative regional flow of the at least one of the imaging agent, blood, the contrast agent, and the biomedical agent and the clearance or persistence of the at least one of the imaging agent, blood, the contrast agent, and the biomedical agent within the tissue and the characterization of elemental components of disease.

Methods and apparatus for relative perfusion and/or viability

Certain embodiments of the present invention provide systems, methods and computer instructions for detecting a pathological condition of a vasculature. Certain embodiments provide a method for detecting a pathological condition of a vasculature. The method includes accessing imaging data indicative of the vasculature and having a data type, selecting a detection process corresponding to the data type from among a plurality of detection processes, each of the detection processes processing data of a different data type. The method also includes processing the imaging data having the data type with the selected detection process, and superimposing the processed imaging data on the imaging data indicative of the pathological condition of the vasculature.

Systems and methods for automated diagnosis

Systems, methods and apparatus are provided through which carotid plaque is classified in an image and visually displayed using an iterative adaptive process, such as an expectation maximization process.

Systems, methods and apparatus for plaque visualization and quantification using fuzzy and adaptive region classes

A method for enhancing images of an object includes registering a fixed image with cine images of the same object. Next, the fixed image and the cine images are transformed into frequency space representations thereof. A central portion of the frequency space cine images are merged with a peripheral portion of frequency space fixed image using a defined normalized response curve or a predefined normalized response curve (or both) to form a merged image. Finally, the method includes inversely transforming the merged image into enhanced cine images of the object.

Methods and apparatus for reducing noise in images

Determining hazard of an aneurysm by change determination

Systems, methods and computer instructions for displaying multi-energy data are provided. Certain methods include: receiving multi-energy data from an operably connected data source; displaying the multi-energy data as an image via a graphical user interface; selecting a region of interest in the displayed image; and displaying information regarding the region of interest via the graphical user interface. Certain methods include: (1) displaying a graph that includes an attenuation line depicting radiodensity versus energy level; (2) displaying a material density graph of a region of interest and/or of results of segmenting a region of interest; and/or (3) displaying information in a window configured to be movable about an interface. Certain methods include: receiving multi-energy data from an operably connected data source; and displaying the multi-energy data as a fused image via a graphical user interface.

Systems and methods for displaying multi-energy data

A method of evaluating changes in contrast of an image using a diagnostic imaging system is provided. The method provides acquiring raw image data of an organ or tissue, calculating a baseline of data based on the raw image data acquired before arrival of an agent, and determining changes in a signal intensity of the agent based on changes in the raw image data compared to the baseline. The agent may be an imaging agent, a contrast agent, a biomedical agent, a needle, a catheter, a biomedical device, and the like.

Method and system for performing high temporal resolution bolus detection using CT image projection data

A CT system includes a scintillator array having a first length in an axial direction of the CT system, the scintillator array includes a plurality of scintillator cells along the first length. The CT system includes a controller configured to repeatedly position a subject fore and aft along the axial direction and over a second length of the CT system, the second length greater than the first length, energize an x-ray source to emit x-rays toward the subject while the subject is being repeatedly positioned, and obtain non-uniform projection data of the subject from the scintillator array, the non-uniform projection data comprising the x-rays received from the x-ray source while the subject is repeatedly positioned. The CT system includes a computer programmed to reconstruct a plurality of temporally non-uniformly spaced images from the non-uniform projection data, interpolate the plurality of non-uniform images to form a plurality of temporally uniform images, and apply a perfusion map generation process to the plurality of temporally uniform images.

Method of CT perfusion imaging and apparatus for implementing same

A method includes predicting a contrast bolus arrival time, and performing at least one of the following: a) automatically switching from a monitor phase to a scan phase at the predicted arrival time; and b) prompting a user to began a scan at the predicted arrival time.

Prediction methods and apparatus

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Wauwatosa, WI, United States of America

Paul Edgar Licato