General Electric Company

The Johns Hopkins University

Ge Medical Systems Global Technology Company, LLC

Txsonics, Ltd.

Harvey E Cline

Thomas R Anthony

William E Lorensen

Siegwalt Ludke

Christopher Judson Hardy

Mike F Chang

Charles L Dumoulin

Ronald Dean Watkins

Douglas E Houston

Robert David Darrow

Ali Can

Steven P Souza

John O Fielding

Carl A Erikson

Kenneth William Rohling

Paul Arthur Bottomley

Richard I Hartley

Ivar Giaever

William Thomas Hatfield

Mehmet Yavuz

Robert H Ettinger

Xiaodong Tao

Randy Otto John Giaquinto

Kirby Gannett Vosburgh

Richard A Kokosa

E Duane Wolley

Peter Michael Edic

Robert John Filkins

Eddy Benjamin Boskamp

Ravindra Mohan Manjeshwar

Peter B Roemer

Michael John Gerdes

Alan I Taub

Christopher Allen Nafis

Egidijus Edward Uzgiris

Ricardo Scott Avila

Peter G Frischmann

William D Barber

John F Schenck

Sharbel E Noujaim

Harvey Donald Solomon

Erika Schneider

Dirk Ryan Padfield

Ahmad Nadeem Ishaque

Abdalmajeid Musa Alyassin

Paulo Ricardo Mendonca

Michael Christopher Montalto

Charles Lucian Dumoulin

Timothy Patrick Kelliher

Ron Kikinis

Randy Otto Giaquinto

Richard Philip Mallozzi

Maximilian Lewis Seel

Allen Robert Tannenbaum

Douglas Arthur Kelley

David K Hartman

Sheila Srinivasan Washburn

Lorinda R Opsahl

Rupert William Curwen

Thomas E Kennedy

Richard L St Peters

Renee Guhde

Neville D Gai

Shizhe Li

Andrew S Holik

Lisa Marie Sobierajski

Samuel M Blumenfeld

George Raymond Russell

Kullervo Henrik Hynynen

David Egidio Altobelli

Xuli Zong

Donald M Winegar

Walter R Abeling

Davis K Hartman

Manasi Datar

A system and methods for co-registering multi-channel images of a tissue micro array, comprising the steps of, providing a biological material on a substrate; applying one or more molecular probes, adapted to provide fluorescent molecular markers, to the biological material; obtaining a first digital image of the biological material and the fluorescent molecular markers; applying a morphological stain to the biological material; obtaining a second digital image of the biological material, computing information common to the first and second images; and co-registering the second image with the first image based on one or more registration metrics.

System and method for co-registering multi-channel images of a tissue micro array

A system for analyzing tissue samples, that generally comprises, a storage device for at least temporarily storing one or more images of one or more cells, wherein the images comprise a plurality of channels; and a processor that is adapted to determine the extent to which a biomarker may have translocated from at least one subcellular region to another subcellular region; and then to generate a score corresponding to the extent of translocation.

Systems for analyzing tissue samples

Methods and systems for segmenting images, wherein the image pixels are categorized into a plurality of subsets using one or more indexes, then a log-likelihood function of one or more of the indexes is determined, and one or more maps are generated based on the determination of the log-likelihood function of one or more of the indexes.

Automated segmentation of image structures

Method and systems for removing any inherent autofluorescence associated with a biological material, comprising: acquiring a first reference image of the biological material; acquiring a first set of one or more images of the biological material using one or more filters corresponding to one or more information dyes; applying the one or more additional dyes to the biological material and then acquiring a second set of one or more images comprising a separate image of the biological material with each of the filters corresponding to the information dyes and a second reference image of the biological material; coregistering the first and second reference images; and then removing any inherent autofluorescence exhibited in the informational images acquired.

Methods and systems for removing autofluorescence from images

The present techniques provide for the processing of color tissue images based on image segmentation. In an exemplary embodiment, the color and texture features of pixels in a tissue image are used to generate a matrix of feature vectors. A subset of feature vectors is selected from the matrix of feature vectors and a set of colors and textures are derived using the tissue image and the subset of feature vectors. An initial segmented tissue image is then generated from this set of colors and textures.

Segmentation of tissue images using color and texture

An imaging and interventional system and methods are provided. The system comprises an imaging device for acquiring volumetric image data for an anatomical region of interest, a catheter for acquiring electrophysiological (EP) measurements of the anatomical region of interest, the catheter having at least one tracking coil for detecting signals indicative of a position of the catheter, and, a processor coupled to the catheter for receiving the EP measurements and signals indicative of the position of the catheter. The position of the catheter and EP measurements are combined and superimposed on a resultant image. The method comprises acquiring volumetric image data for an anatomical region of interest, acquiring position data for a catheter inserted in the region of interest, obtaining electrophysiological (EP) measurements for the region of interest and combining the image data, position data and EP measurements into a resultant image for use in the interventional procedure.

System and method for interventional procedures using MRI

A coil array for use in magnetic resonance imaging (MRI) is provided and comprises a plurality of low loss coil elements and at least one non-conducting substrate adapted to position the plurality of low loss coil elements in a fixed position thereon. Further, a coil array assembly for use in a magnetic resonance imaging (MRI) scanner is provided. The coil array assembly comprises a pair of coil arrays, wherein each coil array comprises: a plurality of low loss coil elements and at least one non-conducting substrate adapted to position the plurality of low loss coil elements in a fixed position thereon. Further, the pair of coil arrays are coupled to the MRI scanner for receiving imaging signals in a region of interest excited within the pair of coil arrays. Further, the coil array is adapted for use in breast imaging.

Multi-channel low loss MRI coil

An RF coil assembly for use in a multiple receive-channel MRI system is provided. The RF coil assembly is configured as a multi-turn-element RF coil assembly to operate as a surface-coil array in cooperation with the MRI system which is configured to operate in a multiple-channel receive mode.

Multi-turn element RF coil array for multiple channel MRI

A system and method is provided for classifying voxels of first and second images generated using first and second echoes of a dual MRI scan, the first and second echoes corresponding to respective first and second sets of image acquisition parameters. The method includes the steps of providing for accessing first image data corresponding to the first image including an array of voxels, the first image data including a first associated parameter value Sfor a parameter of the imaging associated with respective voxels of the array of voxels; providing for accessing second image data corresponding to the second image including the array of voxels, the second image data including a second associated parameter value Sfor the parameter of the imaging associated with respective voxels of the array of voxels; and providing for determining R and &#x3b8; values associated with respective voxels of the array of voxels, wherein for each respective voxel R substantially equals (S+S), and &#x3b8; substantially equals arctan(S/S) for Sand Sassociated with the respective voxel.

System and method for segmenting tissue types in dual-echo magnetic resonance images

An apparatus and method for segmenting three-dimensional (3D) medical images containing a region of interest is provided that identifies a first set of seed points within the region of interest and a second set of seed points outside the region of interest. A first sphere is constructed within the region of interest. Voxels contained within the medical image are classified using a spatial constrained fuzzy clustering algorithm. A plurality of second spheres is generated. Ones of the plurality of second spheres are accepted that satisfy the homogeneity function threshold as defined by the spatial constricted fuzzy clustering algorithm. A three-dimensional area is grown that defines the region of interest. The region of interest defined by the three-dimensional area is displayed.

Semi-automatic segmentation algorithm for pet oncology images

A method and system for segmenting three-dimensional (3D) medical images containing an object of interest are provided. The method comprises generating a plurality of successive layers of fixed radius spheres about a circumference of a sphere containing at least one seed point placed within the object of interest when a plurality of respective voxels contained within the spheres exceed a selected threshold. The generation of the layers is repeated until no further voxels contained within an outer surface of each respective layer exceed the selected threshold or a stop seed point is encountered. The layers form a segmented representation of the object of interest.

Method and system for segmentation of medical images

A matrix coil for generating a variable magnetic field is provided, including a plurality of loops arranged in a series so as to have a substantially common axis and segmented into at least one arc-shaped segment, a variable current source for each of the arc-shaped segments, and a controller. The controller is configured to selectively vary an amount of current provided to each of the arc-shaped segments by the variable current sources so as to achieve a variable base field, one or more variable gradient fields, and one or more variable second order shim fields.

Matrix coil for generating a variable magnetic field

In an alternate technique, a magnetic resonance imaging system comprises a set of gradient coils for producing controlled gradient field; a radio frequency coil for applying excitation signals to a subject of interest; a detecting coil for detecting magnetic resonance signals resulting from the excitation signals; and a control circuitry configured to energize the set of gradient coils, the radio frequency coil and to obtain a three dimensional phase wrapped image from the magnetic resonance signals detected by the detecting coils, and the control circuitry comprising a phase unwrap component to perform phase unwrapping in a volume of interest of the phase wrapped image to obtain a phase unwrapped image.

Method and system for three dimensional phase unwrapping

The present invention provides a model and a method and apparatus for utilizing the model to simulate an imaging scenario. The model is mathematically defined by analytical basis objects and/or polygonal basis objects. Preferably, the model is a model of the human heart and thorax. Polygonal basis objects are only used to define structures in the model that experience torsion, such as certain structures in the heart that experience torsion during the cardiac cycle. The manner in which the basis objects comprising the model are transformed by scaling, translation and rotation is defined for each basis object. In the case where a basis object experiences torsion, the rotation of the basis object will change as a function of the length along the axis of the basis object about which rotation is occurring. During an imaging system simulation, the model is utilized by a forward projection routine, which integrates the linear attenuation coefficients associated with the rays emitted by a simulated x-ray source and collected by a simulated detector array to obtain line integrals corresponding to forward projection data. The forward projection data is then processed to take into account the physics of the imaging technology, the x-ray source and the detector array. The processed projection data is then processed and back-projected by a reconstruction modeling routine to produce a reconstructed representation of the model of the heart as a function of time.

Mathematical model and a method and apparatus for utilizing the model

A method for magnetic resonance imaging includes applying a first two echo gradient echo sequence to a tissue region, the first two echo sequence generating a first echo and a subsequent second echo. A second two echo gradient echo sequence is applied after heating the tissue region, the second two echo sequence generating a third echo and a subsequent fourth echo. A magnitude difference between the third echo and the first echo is measured and correlated to a temperature shift for fat tissue, and a phase difference between the fourth echo and the second echo is measured and correlated to a temperature shift for water-based tissue. A thermal image is generated of the tissue region based upon the temperature shift for both fat and water-based tissue.

Thermal imaging of fat and muscle using a simultaneous phase and magnitude double echo sequence

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Schenectady, NY, United States of America

Harvey E Cline