System and method for mining quantitive information from medical images
First Claim
1. A system for image registration and quantitative feature extraction from the images, the system comprising:
- an imaging workstation; and
a database server in communication with the imaging workstation, wherein the imaging workstation includes;
a data processor with memory capable of inputting and outputting data and instructions to peripheral devices;
a graphical user interface capable of interfacing with and navigating an imaging software product, wherein the imaging software product is capable of instructing the data processor, the imaging software product comprises;
instructions to register images;
instructions to segment images;
instructions to extract features from images; and
instructions to store and retrieve one or more registered images, segmented images, quantitative image features and quantitative image data from the database server.
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Accused Products
Abstract
A system for image registration and quantitative feature extraction for multiple image sets. The system includes an imaging workstation having a data processor and memory in communication with a database server in communication. The a data processor capable of inputting and outputting data and instructions to peripheral devices and operating pursuant to a software product and accepts instructions from a graphical user interface capable of interfacing with and navigating the imaging software product. The imaging software product is capable of instructing the data processor, to register images, segment images and to extract features from images and provide instructions to store and retrieve one or more registered images, segmented images, quantitative image features and quantitative image data and from the database server.
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Citations
47 Claims
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1. A system for image registration and quantitative feature extraction from the images, the system comprising:
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an imaging workstation; and a database server in communication with the imaging workstation, wherein the imaging workstation includes; a data processor with memory capable of inputting and outputting data and instructions to peripheral devices; a graphical user interface capable of interfacing with and navigating an imaging software product, wherein the imaging software product is capable of instructing the data processor, the imaging software product comprises; instructions to register images; instructions to segment images; instructions to extract features from images; and instructions to store and retrieve one or more registered images, segmented images, quantitative image features and quantitative image data from the database server. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18)
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19. A computer implemented method for performing a study on image data using an image analysis system having an imaging workstation, a database server in communication with the imaging workstation, wherein the imaging workstation includes a data processor with memory capable of inputting and outputting data and instructions to peripheral devices and a graphical user interface capable of interfacing with and navigating an imaging software product, wherein the imaging software product is capable of instructing the data processor, the method comprising:
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importing one or more image sequences from the database server for a one or more patients involved in the study; registering the images to align the different image sequences with one of each other and to a baseline image set; performing segmentation to find one or more objects of interest in the entire image sequence; performing feature extraction to determine quantitative information about the objects of interest; and storing the objects of interest and the quantitative information about the objects of interest in the database server. - View Dependent Claims (20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31)
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32. An image analysis system, comprising:
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an imaging workstation; a database server in communication with the imaging workstation; wherein the imaging workstation includes a data processor with memory capable of inputting and outputting data and instructions to peripheral devices and a graphical user interface capable of interfacing with and navigating an imaging software product, wherein the imaging software product is capable of instructing the data processor, the imaging software product comprises; instructions to store and retrieve one or more registered images, segmented images, quantitative image features and quantitative image data and from the database server; and instructions to store audit data in the database server that tacks the use and changes of the registered images, the segmented images, the quantitative image features and quantitative image data.
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33. A method for segmenting images from a sequence of images, comprising:
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performing seeded region growing to generate a segmented region on one or more images and one or more regions of interest, the seeded region growing further comprising identifying a point within a region to be segmented on a particular image and identifying pixels surrounding the point having a similar intensity range; and performing shaped based interpolation that further comprises identifying the segmented region(s) identified during the seeded region growing on the other images in the sequence of images to segment the identified region(s) in all of the sequence of images.
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34. A method for segmenting images from a sequence of images, comprising:
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determining an initial contour for a segmented region in an image; performing shaped based interpolation that further comprises identifying the segmented region identified from the image for the other images in the sequence of images to segment the segmented region in all of the sequence of images; and performing snake segmentation on segmented regions in the sequence of images to generate a refined segmented region for the sequence of images, the snake segmentation further comprising selecting an initial contour of a structure in an image set;
identifying each vertex of the initial contour;
identifying radial lines normal to each vertex of the initial contour, wherein the initial contour is restricted to move only along the radial lines;
sampling the image set along the radial lines;
computing one-dimensional derivatives of the structure along the radial lines; and
iteratively adjusting positioning of the initial contour on the radial line and calculating total energy, wherein the initial contour is adjusted such that the total energy is minimized. - View Dependent Claims (35, 36, 37, 38, 39)
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40. A method for segmenting images from a sequence of images, comprising:
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generating a segmented image from a reference image; determining registration between the reference image and a new image to generate a new image segmentation; performing snake segmentation on the new image segmentation to generate a segmented region within the particular image, the snake segmentation further comprising selecting an initial contour of a structure in an image set;
identifying each vertex of the initial contour;
identifying radial lines normal to each vertex of the initial contour, wherein the initial contour is restricted to move only along the radial lines;
sampling the image set along the radial lines;
computing one-dimensional derivatives of the structure along the radial lines; and
iteratively adjusting positioning of the initial contour on the radial line and calculating total energy, wherein the initial contour is adjusted such that the total energy is minimized.
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41. A method for segmenting images from a sequence of images, comprising:
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performing seed region segmentation to generate a segmented region within the particular image, the seed region segmentation further comprising identifying a point within a region to be segmented on a particular image and identifying pixels surrounding the point having a predetermined intensity; and performing multi-channel segmentation in order to segment the segmented region from each image in an image set.
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42. A method for segmenting images from a sequence of images, comprising:
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determining an initial contour for a segmented region in an image, the initial contour being determined a segmentation tool; and performing snake segmentation on segmented region of the image to generate a refined segmented region for the image, the snake segmentation further comprising selecting an initial contour of a structure in an image set;
identifying each vertex of the initial contour;
identifying radial lines normal to each vertex of the initial contour, wherein the initial contour is restricted to move only along the radial lines;
sampling the image set along the radial lines;
computing one-dimensional derivatives of the structure along the radial lines; and
iteratively adjusting positioning of the initial contour on the radial line and calculating total energy, wherein the initial contour is adjusted such that the total energy is minimized. - View Dependent Claims (43, 44, 45, 46, 47)
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Specification