Method and apparatus for detecting intraventricular dyssynchrony
First Claim
1. A method of detecting intraventricular dyssynchrony for a ventricle of a beating heart, the method including:
- a) receiving initialization information from an observer viewing a first source image of a sequence of source images of a ventricle of a beating heart over at least one complete cardiac cycle to define a single vector constructed by concatenating Fourier shape descriptors extracted from a plurality of points associated with muscle boundaries of the ventricle over time;
b) extracting muscle boundaries for each source image of the sequence of source images to define a corresponding spatio-temporal characterization of a complete source image sequence with contour shapes corresponding to the muscle boundaries using a Fourier descriptor model; and
c) deforming the single vector of Fourier shape descriptors representing each contour shape in the complete source image sequence based at least in part on image forces, external forces, and internal forces to track movement of the muscle boundaries for the ventricle over time in the complete source image sequence.
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Abstract
A method and apparatus for detecting intraventricular dyssynchrony is provided. In one embodiment, the method includes: a) receiving information from an observer viewing a source image to define a plurality of points associated with muscle boundaries of a ventricle, b) extracting muscle boundaries for a series of source images to define a corresponding series of contour shape images using a Fourier descriptor model, and c) deforming each contour shape based at least in part on image forces, external forces, and internal forces to track movement of the muscle boundaries over time. In another embodiment, the method includes: a) characterizing the series of source images as a corresponding series of contour shape images representative of movement of muscle boundaries of the ventricle over time, b) classifying the series of contour shape images in a dyssynchronous class or a non-dyssynchronous class, and c) pre-diagnosing the ventricle as dyssynchronous or non-dyssynchronous.
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Citations
50 Claims
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1. A method of detecting intraventricular dyssynchrony for a ventricle of a beating heart, the method including:
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a) receiving initialization information from an observer viewing a first source image of a sequence of source images of a ventricle of a beating heart over at least one complete cardiac cycle to define a single vector constructed by concatenating Fourier shape descriptors extracted from a plurality of points associated with muscle boundaries of the ventricle over time; b) extracting muscle boundaries for each source image of the sequence of source images to define a corresponding spatio-temporal characterization of a complete source image sequence with contour shapes corresponding to the muscle boundaries using a Fourier descriptor model; and c) deforming the single vector of Fourier shape descriptors representing each contour shape in the complete source image sequence based at least in part on image forces, external forces, and internal forces to track movement of the muscle boundaries for the ventricle over time in the complete source image sequence. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20)
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21. A method of detecting intraventricular dyssynchrony, including:
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a) providing a spatio-temporal characterization of a complete source image sequence of a ventricle of a beating heart over at least one complete cardiac cycle as a single vector constructed by concatenating Fourier shape descriptors extracted from a corresponding sequence of contour shape images representative of movement, of muscle boundaries of the ventricle over time; b) classifying the single vector of Fourier shape descriptors representing the complete contour shape image sequence in a dyssynchronous class or a non-dyssynchronous class; and c) pre-diagnosing the ventricle as dyssynchronous or non-dyssynchmnous based at least in part on the classifying. - View Dependent Claims (22, 23)
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24. A method of detecting intraventricular dyssynchrony, including:
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a) observing a spatio-temporal characterization of a complete source image sequence of movement of muscle boundaries of a ventricle of a beating heart over at least one complete cardiac cycle, wherein the spatio-temporal characterization is provided as a single vector constructed by concatenating Fourier shape descriptors extracted from a corresponding, sequence of contour shape images representative of movement of the muscle boundaries of the ventricle over time, and wherein the single vector of Fourier shape descriptors representing the complete contour shape image sequence are classified in a dyssynchronous class; b) diagnosing the ventricle as dyssynchronous based at least in part on the observing; c) planning treatment of the dyssynchronous ventricle to include epicardial implantation of a cardiac resynchronization therapy device, using a Fourier descriptor model; d) identifying a dyssynchronous region of the ventricle based at least in part on the observing; and e) planning lead placement for the cardiac resynchronization therapy device based at least in part on the dyssynchronous region of the ventricle. - View Dependent Claims (25, 26)
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27. A method of detecting intraventricular dyssynchrony, including:
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a) spatially-temporally characterizing a complete source image sequence of a ventricle of a beating heart over at least one complete cardiac cycle as a single vector constructed by concatenating Fourier shape descriptors extracted from a corresponding sequence of contour shape images representative of movement of muscle boundaries Of the ventricle over time; b) classifying the single vector of Fourier shape descriptors representing the complete contour shape image sequence in at least one of a plurality of dyssynchronous subclasses or in a non-dyssynchronous class, each dyssynchronous subclass associated with a different region of the ventricle; and e) pre-diagnosing the ventricle as having at least one dyssynchronous region or as non-dyssynchronous based at least in part on the classifying. - View Dependent Claims (28, 29)
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30. A method of detecting intraventricular dyssynchrony, including:
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a) capturing movement of a ventricle of a beating heart over at least one complete cardiac cycle over time in a sequence of source images for a subject; b) extracting muscle boundaries for each source image of the sequence of source images to define a corresponding spatio-temporal characterization of a complete source image sequence as a single vector constructed by concatenating Fourier shape descriptors extracted from a corresponding sequence of contour shape images representative of movement of the muscle boundaries of the ventricle over time; c) deforming the single vector of Fourier shape descriptors representing each subject contour shape in the complete source image sequence to track movement of the muscle boundaries for the ventricle over time in the complete subject source image sequence; d) observing the complete subject source image sequence; e) comparing the complete subject source image sequence to other complete source image sequences from other cases; and f) pre-diagnosing the subject ventricle as dyssynchronous or non-dyssynchronous based at least in part on the observing and comparing. - View Dependent Claims (31, 32, 33, 34, 35, 36)
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37. An apparatus for detecting intraventricular dyssynchrony, including:
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a contour image processor extracting muscle boundaries for each source image of a sequence of source images of a ventricle of a beating heart over at least one complete cardiac cycle to define a single vector constructed by concatenating Fourier shape descriptors from the extracted muscle boundaries corresponding to a spatio-temporal characterization of the complete source image sequence, images and deforming the single vector of Fourier shape descriptors representing each contour shape in the complete source image sequence based at least in part on image forces, external forces, and internal forces to track movement of the muscle boundaries for the ventricle over time in the sequence of contour shape images; and an image classifier, in operative communication with the contour image processor, classifying the sequence of contour shape images in a dyssynchronous class or a non-dyssynchronous class. - View Dependent Claims (38, 39, 40, 41)
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42. An apparatus for detecting intraventricular dyssynchrony, including:
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an image contour processor spatially-temporally characterizing a sequence of source images of a ventricle of a beating heart over at least one complete cardiac cycle as a single vector constructed by concatenating Fourier shape descriptors extracted from a corresponding sequence of contour shape images representative of movement of muscle boundaries of the ventricle over time; and an image classifier, operative communication with the contour image processor, classifying the concatenated sequence of contour shape images in a dyssynchronous class or a non-dyssynchronous class. - View Dependent Claims (43, 44)
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45. An apparatus for detecting intraventricular dyssynchrony, including:
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a contour image processor spatially-temporally characterizing a complete source image sequence of a ventricle of a beating heart over at least one complete cardiac cycle as a single vector constructed by concatenating Fourier shape descriptors extracted from a corresponding sequence of contour shape images representative of movement of muscle boundaries of the ventricle over time; and an image classifier classifying the concatenated contour shape images in at least one of a plurality of dyssynchronous subclasses or in a non-dyssynchronous class, each dyssynchronous subclass associated with a different region of the ventricle. - View Dependent Claims (46, 47, 48)
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49. A method for monitoring an internal area of a subject, including:
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a) receiving initialization information from an observer viewing a first source image of a sequence of source images of the internal area over a predetermined time to define a single vector constructed by concatenating Fourier shape descriptors extracted from a plurality of points associated with boundaries within the internal area; b) extracting boundaries for each source image of the sequence of source images to define a corresponding spatio-temporal characterization of a complete source image sequence with contour shapes corresponding to the boundaries using a Fourier descriptor model; and c) deforming the single vector of Fourier shape descriptors representing each contour shape in the complete source image sequence based at least in part on image forces, external forces, and internal forces to track movement of the boundaries within the internal area over time in the complete source image sequence.
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50. An apparatus for monitoring an internal area of a subject, including:
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a contour image processor extracting boundaries for each source image of a sequence of source images of the internal area over a predetermined time to define a single vector constructed by concatenating Fourier shape descriptors from the extracted muscle boundaries corresponding to a spatio-temporal characterization of the complete source image sequence, images and deforming the single vector of Fourier shape descriptors representing each contour shape in the complete source image sequence based at least in part on image forces, external forces, and internal forces to track movement of the boundaries within the internal area over time in the sequence of contour shape images; and an image classifier, in operative communication with the contour image processor, classifying the sequence of contour shape images in a first class or a second class based at least in part on detection of predetermined discriminating characteristics for the first and second classes in the contour shape images.
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Specification