General Electric Company

Ge Medical Systems Global Technology Company, LLC

Kitware, Inc.

Morpho Detection, Inc.

Ricardo Scott Avila

James Vradenburg Miller

Peter Michael Edic

Samit Kumar Basu

William Thomas Hatfield

Robert August Kaucic

Thomas Baby Sebastian

Deborah Joy Walter

William Macomber Leue

Todd Michael Tillman

Brian Peter Geiser

Lisa Sobierajski Avila

Jiang Hsieh

Xiaoye Wu

Ravindra Mohan Manjeshwar

William E Lorensen

James Walter LeBlanc

Forrest Frank Hopkins

Maria Iatrou

Colin Craig McCulloch

Christopher Richard Volpe

Vaishali Vilas Kamat

Lisa Marie Sobierajski

Harvey E Cline

Saad Ahmed Sirohey

Bruno Kristiaan Bernard De Man

Darin Robert Okerlund

Robert F Senzig

Colin Richard Wilson

Alexander Ganin

William Robert Ross

Joseph Leagrand Mundy

Bruno De Man

Boris Yamrom

Shankara Bonthu Reddy

Cheryl Ruth Jones

Matthew William Turek

Paulo Ricardo Dos Santos Mendonca

Joseph Edward Piel, Jr

Floribertus Philippus Martinus Heukensfeldt Jansen

Timothy Patrick Kelliher

Matthieu Denis Ferrant

Kelly Lynn Karau

Daniel J Blezek

Floribertus Heukensfeldt Jansen

Dinko Eduardo Gonzalez Trotter

Beth Ann Heckel

Russell Scott Blue

Hui He

Steven Eric Lithicum

Mirelle Audet

Shannon Lee Hastings

Colin Craig Mc Culloch

Dinko Gonzalez Trotter

This invention relates to a method of assessing the change in size of cancerous lesions in humans utilizing CT scans through the application of a boundary detection algorithm capable of detecting subtle changes in CT images. The change assessment method may include the steps for defining boundary regions on a CT scan image, analyzing said boundaries utilizing a computational program containing statistical analysis techniques, and producing a medically useful output showing any change in lesion size. The change assessment method may also be interfaced with other medical diagnostic techniques or devices that are known in the art.

Change assessment method

This invention relates to a method, system, and devices relating to quantitatively measuring regional lung tissue damage by combining the CT scan measurements of the mineral density deviations and/or mineral composition deviations in airway tissue, with the measurements of airflow lung function measurements.

Method and system for measuring lung tissue damage and disease risk

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 region of interest is automatically evaluated. The automatic evaluation is based on assessments of one or more characteristics. The one or more characteristics of the region of interest are assessed in a plurality of image data sets acquired by a respective plurality of imaging modalities. In some embodiments, the evaluation is based on assessments of one or more characteristics for each region of interest derived from a combination of structural and functional image data. In one embodiment, the set of structural image data is a set of CT image data and the set of functional image data is a set of PET image data. The one or more lesions may be detected in the structural and/or functional image data by automated routines or by a visual inspection by a clinician or other reviewer.

Method and apparatus for automatically characterizing a malignancy

A system and method for ascertaining the identity of an object within an enclosed article. The system includes an acquisition subsystem, a reconstruction subsystem, a computer-aided detection (CAD) subsystem, and an alarm resolution subsystem. The acquisition subsystem communicates view data to the reconstruction subsystem, which reconstructs it into image data and communicates it to the CAD subsystem. The CAD subsystem analyzes the image data to ascertain whether it contains any area of interest. A feedback loop between the reconstruction and CAD subsystems allows for continued, more extensive analysis of the object. Other information, such as risk variables or trace chemical detection information may be communicated to the CAD subsystem to dynamically adjust the computational load of the analysis.

System and method for detecting an object by dynamically adjusting computational load

A Multi-Energy Computed Tomography (MECT) System is provided. The system includes a radiation source rotatable about a patient, a radiation detector, and a computer coupled to the radiation source and the radiation detector wherein the computer is configured to receive data regarding a first energy spectrum of a scan of a head of the patient, receive data regarding a second energy spectrum of a scan of the head, and generate an image using the received data.

Methods and apparatus for detecting structural, perfusion, and functional abnormalities

Methods and systems for imaging a patient are provided. The method includes determining a location of a volume of interest within the patient and acquiring a plurality of frames of emission data, at least one frame including the volume of interest. The method further includes determining a time-of-flight (TOF) information of at least a portion of the annihilations detected along a line of response between corresponding coincidence detectors and generating an image of the patient from the emission data using the determined TOF information.

Method and system for imaging a patient

A system and method for ascertaining the identity of an object within an enclosed article. The system includes an acquisition subsystem utilizing a stationary radiation source and detector, a reconstruction subsystem, a computer-aided detection (CAD) subsystem, and a 2D/3D visualization subsystem. The detector may be an energy discriminating detector. The acquisition subsystem communicates view data to the reconstruction subsystem, which reconstructs it into image data and communicates it to the CAD subsystem. The CAD subsystem analyzes the image data to ascertain whether it contains any area of interest. Any such area of interest data is sent to the reconstruction subsystem for further reconstruction, using more rigorous algorithms and further analyzed by the CAD subsystem. Other information, such as risk variables or trace chemical detection information may be communicated to the CAD subsystem to be included in its analysis.

System and method for detecting an object

A technique is disclosed for detecting contraband by obtaining image data from a computed tomography machine and generating variance data and a variance map from the image data acquired. The method includes obtaining a mean density value and a variation value for each voxel of the image data, segmenting the voxels into discrete objects, and determining whether any of the discrete objects is contraband.

Contraband detection system and method using variance data

A method for processing medical images for use in the detection and diagnosis of disease comprises classifying regions of interest within the medical images based on a hierarchy of anatomical models and signal models of signal information of an image acquisition device used to acquire the medical images. The anatomical models are derived to be representative of anatomical information indicative of a given disease. A computer-aided system for use in the diagnosis and detection of disease comprises an image acquisition device for acquiring a plurality of image data sets and a processor adapted to process the image data sets. The processor is adapted to classify selected tissue types within the image data sets based on a hierarchy of signal and anatomical models and the processor is further adapted to differentiate anatomical context of the classified tissue types for use in the diagnosis and detection of disease.

Method and system for lung disease detection

A method including detecting components of plaque using a multi-energy computed tomography (MECT) system is provided.

Methods and system for detecting components of plaque

A system and a method for detecting an object, such as an explosive device or material, located within a closed article, such as a piece of luggage or a parcel. The system includes an acquisition subsystem for acquiring information pertaining to a specific object, a reconstruction subsystem for reconstructing acquired information pertaining to the specific object into image data, and a computer-aided detection subsystem adapted for identifying the specific object through the use of differential operators. The method includes obtaining image data of the one object, computing a differential operator for each voxel of the image data, computing eigenvalues and eigenvectors for each of the voxels, and computing a scalar function of the eigenvalues to ascertain whether each of the voxels represents a portion of the one object.

System and method for detecting objects with differential operators

A volume imaging system which progressively constructs, analyzes, and updates three dimensional models while acquiring cross-sectional data is described. The system constructs and displays three-dimensional renderings, and performs quantitative calculations in real time during the imaging system data collection process, displays interactive three-dimensional renderings in a traditional post-data collection process, as well as prescribes, archives, films, and transmits rendering procedures, parameters, renderings, measurements, and processed data, during data collection and post-acquisition.

Volume imaging system

A method for segmenting an input volume in accordance with at least one selected characteristic comprises the steps of casting a plurality of rays along a plurality of views of the input volume, identifying regions corresponding to the selected characteristic within each ray, and processing the identified regions to generate an output volume indicating regions having the selected characteristic.

Tomographic segmentation

The present invention is directed toward providing interactive haptic collision detection between a stationary and a moving object in a virtual reality environment. A user grasps the arm of a haptic device and manipulates an object as viewed on a virtual reality display. As any portion of the manipulated object comes too close to the surface of the stationary object, the haptic device imposes feedback forces against the user's efforts that increase in magnitude as the user manipulates the object beyond a force boundary proximate to the surface of the stationary object. The feedback forces are applied directionally in line with the shortest path between the surfaces at risk of collision. Several measures can be implemented by the user to reduce the computation load involved in constantly comparing the distances between points on the surface of the movable object and points on the surface of the stationary object without seriously compromising the collision detection and avoidance functions of the system. Furthermore, while the invention provides for up to six degrees of freedom for manipulating objects and providing haptic feedback, the system also accommodates three degrees of haptic freedom and feedback, with the additional three degrees of rotational feedback being provided visibly or audibly.

System and method for providing interactive haptic collision detection

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Clifton Park, NY, United States of America

Ricardo Scott Avila