General Electric Company

Márta Fidrich

Laszlo Rusko

Lehel M Ferenczi

György Bekes

Milan Redele

Gabor Novak

Judit Bak-Kanyó

Attila Ferik

Andras Kriston

Ferenc Kovacs

Tamas Blaskovics

Tamas Ungi

Amanda Jean Fox

Attila Kuba

László G Nyúl

Eors Mate

Emese Balogh

Eörs Máté

Judit Kanyó

Géza Makay

Attila Tanács

Bence Kiss

Pál Csongor Sprencz

Imre Pap

László Ruskó

Andras Osztroluczki

Gergely Nyiri

Devyani Bedekar

Norbert Bara

Laszló Ruskó

András Kriston

Tamás Blaskovics

Ferenc Kovács

A method for automatic segmentation of a medical image is provided. The method comprises registering a reference image associated with an object to the medical image, determining a transformation function on the basis of the registration, applying the transformation function to a probability map associated with the object; carrying out a probability thresholding on the transformed probability map by selecting a first area of the medical image in which the probability of the object is within a probability range, carrying out an intensity thresholding on the medical image by selecting a second area of the medical image in which the intensity is within an intensity range, selecting a common part of the first and second areas and carrying out on the common part a morphological opening resulting in separate sub-areas, selecting the largest sub-area as a seed, and segmenting the medical image on the basis of the seed.

Method, system and computer readable medium for automatic segmentation of a medical image

A method for segmenting organs on magnetic resonance (MR) images includes retrieving an MR image of a subject and generating a transformation matrix by segmenting bones on the MR image. An initial organ segmentation of the MR image is generated by registering a combined organ and bone atlas with the MR image using the transformation matrix. The MR image with initial organ segmentation may be shown on a display.

System and method for automatic segmentation of organs on MR images using a combined organ and bone atlas

A method for generating an image includes obtaining a first image and a second image of an object of interest, generating a joint histogram using the first and second images, transforming the information in the histogram from histogram space to image space using a look-up table, and generating a color image using the information output from the look-up table. A system and non-transitory computer readable medium are also described herein.

Systems and methods for performing segmentation and visualization of multivariate medical images

A method for segmenting bones on magnetic resonance (MR) images includes retrieving an MR image and performing an enhancement process on the MR image to generate a bone enhanced MR image. The bone enhanced MR image is then registered to a computer tomography (CT) based bone atlas. An MR image with bone segmentation is generated by segmenting the bone enhanced MR image using the CT based bone atlas as a mask. The MR image with bone segmentation may be presented on a display.

System and method for segmenting bones on MR images

A system and process for analyzing multidimensional data characterizing a least a portion of a subject is described. An input module accepts at least one multidimensional dataset which is derived from any of several types of data sources. A registration module accepts the dataset from the input module and registers the dataset from the input module to a selected anatomical model to provide a registered dataset. A processing module is coupled to the registration module and uses this in determining a core region and associated core region information, and computes threshold characteristics of the registered dataset. A segmentation module accepts the registered dataset and the core region information from the processing module, and segments the registered dataset to provide a segmented description of an organ from the registered dataset and core region information, where the segmented, registered dataset describes characteristics of the organ of the subject.

Systems, apparatus and processes for automated medical image segmentation using a statistical model

A system and process for combining multiple datasets to provide a composite dataset is described. The system includes a data collection tool, a computation engine and a memory coupled to the data collection tool and computer-readable code embodied on a computer-readable medium. The computer-readable code is configured so that when the computer-readable code is executed by one or more processors associated with the computation engine the computer-readable code causes the one or more processors to: (i) accept two or more datasets corresponding to distinct measurements of a subject, (ii) initiate processing of the two or more datasets, (iii) contemporaneously segment and register a combination of the two or more datasets to achieve a combined dataset, (iv) test for convergence of the combined dataset and (v) provide the combined dataset for analysis when the test for convergence indicates that the combined dataset has been registered and segmented.

Systems, apparatus and processes for automated medical image segmentation

Systems, method and apparatus in which some embodiments of automatic segmentation of a liver parenchyma from multiphase contrast-enhanced computed-tomography images includes analyzing an intensity change in the images belonging to the different phases in order to determine the region-of-interest of the liver, thereafter segmenting starting from the region-of-interest and incorporating anatomical information to prevent oversegmentation, and thereafter combining the information of all available images.

Systems, methods and apparatus automatic segmentation of liver in multiphase contrast-enhanced medical images

A non-transitory computer-accessible medium having executable instructions capable of directing a processor to generate a spatio-temporal maximum-intensity projection from a respiratory phase separated series of images; generate a phase separated four-dimension series of images of various modalities, generate a radiation therapy structure set, and generate a radiation therapy plan, store the spatio-temporal maximum-intensity projection, the respiratory phase separated series of images, the phase separated four-dimension series of images of various modalities, the radiation therapy structure set, and the radiation therapy plan in a memory, receive a selection of a custom range of phase separated series, display a four-dimension phase cine of the custom range of phase separated series having the spatio-temporal maximum-intensity projection, identify a desired phase series for diagnosis and treatment planning, and store the radiation therapy structure set and the radiation therapy plan in the memory.

Systems, methods and apparatus for oncology workflow integration

Systems, methods and apparatus are provided through which in some embodiments, a structure manager explicitly creates a container of graphical objects of anatomical regions by adding a structure, or the structure manager implicitly creates graphical objects of a group of anatomical regions through an organ segmentation process.

Systems, methods and apparatus of handling structures in three-dimensional images

Systems, methods and apparatus of handling structures in three-dimensional images having multiple modalities and multiple phases

A system and method for segmenting and editing anatomical objects from medical images is disclosed. The system may be a medical diagnostic imaging system. A computer unit may execute computer software for segmenting anatomical objects from medical images. The computer software may extract an anatomical object from planar curves. Additionally, the computer software may correct the shape of an existing three-dimensional anatomical object from planar curves. The planar curves may be orthogonal to each other. A user may contour of an anatomical object on a plurality of slices, such as an axial slice a sagittal slice, a coronal slice, or some combination thereof. The contour may be drawn using a tracing pen on a display unit. The display unit may receive touch screen input from the tracing pen. The display unit may display the three-dimensional segmented anatomical object.

Method and apparatus for three-dimensional interactive tools for semi-automatic segmentation and editing of image objects

A method for automatically segmenting image data of an object includes selecting a seed, creating an initial surface around the seed, preprocessing the image data, running a deformable surface algorithm on the image data and post processing the image data. Selecting the seed includes at least one of selecting one seed point within the object, selecting two seed points within the object with one seed point being selected at an upper end of the object and the other seed point being selected at a lower end of the object if the object is a first organ, and selecting a curved segment within the object if the object is a second organ.

Method and system for automatically segmenting organs from three dimensional computed tomography images

A system for segmenting an organ in a plurality of images is described. The system includes an imaging system configured to generate a first set of slices showing images of a subject having the organ. The system also includes a controller configured to determine a second set of slices within the first set, where the second set of slices includes the organ and a remaining set of slices within the first set of slices excludes the organ. The controller is also configured to segment the organ from the second set of slices.

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Szeged, Hungary

Márta Fidrich