General Electric Company

Paulo Ricardo Dos Santos Mendonca

James Vradenburg Miller

Glen William Brooksby

Rahul Bhotika

Thomas Baby Sebastian

Christopher Allen Nafis

Patrick Joseph Howard

Matthew William Turek

Andrew Frank Ferro

Xingwei Yang

Denisa Narmour Borges

Peter Michael Edic

Peter Henry Tu

Samit Kumar Basu

Saad Ahmed Sirohey

John Anderson Fergus Ross

Bruno Kristiaan Bernard De Man

Xiaoye Wu

Frederick Wilson Wheeler

Jed Douglas Pack

Jerome F Knoplioch

Scott David Wollenweber

Naresh Sundaram Iyer

Jens Rittscher

Souma Sengupta

Robert August Kaucic

Ricardo Scott Avila

Joseph Leagrand Mundy

Deborah Joy Walter

Kai Zeng

Dirk Ryan Padfield

Bruno Kristiaan Bernard DeMan

William Macomber Leue

Colin Craig McCulloch

Bipul Das

Matthieu Denis Ferrant

Laszlo Rusko

Andras Kriston

Kosuke Sasaki

Shubao Liu

Ferenc Kovacs

Masayuki Kudo

Satish Giridhar Iyengar

Ashok Sundaresan

Qi Song

Peter Alexander John Lamb

Tony Chi-shao Pan

Yujiao Zheng

Methods, apparatus and computer-readable media for detecting potential defects in a part are disclosed. A potential defect may be automatically detected in a part, and may be reported to an operator in various ways so that the operator may review the defect and take appropriate action.

System for defect indication detection

Method for defect indication detection

In an example embodiment, a method of calculating end-of-life (EOL) predictions for a physical asset is provided. A state-space model for the physical asset is obtained, the state-space model being a physics-based model describing a state of the physical asset at a particular time given measurements or observations for the physical asset. Then a current state of the physical asset is inferred. Then a long-term prediction is derived for the physical asset based on the inferred current state of the physical asset and the state-space model for the physical asset. Then an EOL probability distribution function is generated for the physical asset based on the long-term prediction, the EOL probability distribution function describing a range of estimates of EOL for the physical asset and their corresponding confidence intervals.

Method, system, and program storage device for automating prognostics for physical assets

A technique is provided for measuring an object based on multiple views. The technique includes registering each of the plurality of images and a first model of the object with one another and reconstructing a second model of the object based on the plurality of images and the first model registered with one another.

System and method for object measurement

Methods and systems for processing images are provided. One method includes obtaining a plurality of images corresponding to at least one area of an object and performing a rectification of at least some of the plurality of images using a reference structure. The method also includes performing a gradient vector field analysis on the rectified plurality of images of the object to identify anomaly regions within the object.

Methods and systems for processing images for inspection of an object

An apparatus for multi-energy tissue quantification includes an x-ray imaging system comprises an x-ray source configured to emit a beam of x-rays toward an object to be imaged, a detector configured to receive the x-rays attenuated by the object, and a data acquisition system (DAS) operably coupled to the detector. A computer operably connected to the x-ray source and the DAS is programmed to cause the x-ray source to emit x-rays at each of a first kVp and a second kVp toward the detector, acquire x-ray data from x-rays emitted at the first and second kVp through a region of interest (ROI), and perform a first multi-material decomposition based on the acquired x-ray data. The computer is also programmed to quantify a volume fraction of a first material in the ROI based on the first multi-material decomposition and display the volume fraction of the first material to a user.

Apparatus and method for multi-energy tissue quantification

Approaches are described for generating an initial reconstruction of CT data acquired using a wide-cone system. In one implementation, frequency data may be patched in to a first scan, such as an axial scan, from a second scan, such as a helical scan. In one embodiment, an initial reconstruction may be processed (such as via a non-linear operation) to correct frequency omissions and/or errors in the reconstruction. Corrected frequency information may be utilized to improve the reconstructed image.

Method and system for reconstruction of tomographic images

The present invention aims at providing a method for detecting a color of a signal light from a moving vehicle such as railroad train. The method includes capturing an image from a camera mounted on the moving vehicle and extracting candidate regions in the image that contain light region. The method further includes classifying the candidate regions as a signal light region or a non-signal light region and identifying the color of the signal light region.

Method and system for detecting signal color from a moving video platform

A technique is disclosed for generating variance data and a variance map from measured projection data acquired from a tomography system. The method comprises accessing the measured projection data from the tomography system. The method further comprises generating the variance map from the measured projection data and displaying, analyzing or processing the variance map. The variance data is determined based upon a statistical model from measured image data, and may be used for image analysis, data acquisition, in computer aided diagnosis routines, and so forth.

Method and apparatus for efficient calculation and use of reconstructed pixel variance in tomography images

A method includes generating a first response including a plurality of potential first objects of interest of a first shape from data regarding a region of interest (ROI), generating a second response including a plurality of second objects of interest for a second shape different than the first shape from the data regarding the ROI, and performing a morphological closing on the second response to produce a second cleaned response including a plurality of completed second objects. The method also includes decreasing the number of potential objects of interest in the first response by deleting any potential first objects that overlap any completed second objects to obtain a cleaned first response, and generating an image using at least one of the first cleaned response and the second cleaned response.

Method and apparatus to facilitate visualization and detection of anatomical shapes using post-processing of 3D shape filtering

A method for performing patient specific analysis of disease relevant changes of a disease in an anatomical structure of interest is provided. The method comprises determining a percentage of the anatomical structure that is encompassed by a diseased tissue region using a patient specific healthy tissue model. The method then comprises determining the amount or spatial distribution or a combination thereof of tissue volume variation due to the disease in the anatomical structure based on the percentage of the anatomical structure encompassed by the diseased tissue region and an estimated original amount of tissue.

Method and system for performing patient specific analysis of disease relevant changes of a disease in an anatomical structure

An imaging system for correcting a bias in the location edges in an image is provided. The imaging system comprises an image processor configured to detect edges in an image of a given substructure, characterize a blurring factor in the image and correct a bias in the detected edges in the of a given substructure using the blurring factor.

Edge detection and correcting system and method

A method for detecting, quantifying, staging, reporting, and/or tracking of a disease includes providing analysis software configured to detect, quantify, stage, report, and/or track a disease utilizing images of a patient. The analysis software is executable on a personal computer of a patient. Patients are then imaged utilizing a medical imaging apparatus and medical images of the patient produced by the imaging apparatus are downloaded to the personal computer of the patient. The imaging and downloading are repeated a plurality of times at intervals selected to provide the analysis software with sufficient images to detect, quantify, stage, report, and/or track the disease in the patient.

Methods and apparatus for processing image data to aid in detecting disease

Growing community of inventors

Clifton Park, NY, United States of America

Paulo Ricardo Dos Santos Mendonca