Method for computed tomography motion estimation and compensation
First Claim
1. A method for estimating motion of an object of interest, comprising:
- reconstructing a set of one or more initial images using acquired data;
identifying one or more regions of interest in the set of reconstructed initial images;
applying at least a set of directional Fourier filters to the identified regions of interest to generate a sequence of filtered images constrained in Fourier space, wherein each of the filtered images in the sequence comprises data acquired near a different reference point; and
estimating a motion path for each region of interest based on one or more correspondences in the sequence of filtered images.
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Abstract
A method and system for motion estimation and compensation are disclosed. Initially, a set of one or more initial images is reconstructed using acquired imaging data. Further, one or more regions of interest are identified in this set of reconstructed initial images. At least a set of filters is applied to the identified regions of interest to generate a sequence of filtered images. Particularly, each of the filtered images in the generated sequence of filtered images includes data acquired near a different reference point. Subsequently, a motion path corresponding to each region of interest is determined based on one or more correspondences in the sequence of filtered images.
30 Citations
25 Claims
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1. A method for estimating motion of an object of interest, comprising:
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reconstructing a set of one or more initial images using acquired data; identifying one or more regions of interest in the set of reconstructed initial images; applying at least a set of directional Fourier filters to the identified regions of interest to generate a sequence of filtered images constrained in Fourier space, wherein each of the filtered images in the sequence comprises data acquired near a different reference point; and estimating a motion path for each region of interest based on one or more correspondences in the sequence of filtered images. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17)
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18. An imaging system, comprising:
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a data acquisition system (DAS) for acquiring an initial image; and an image processor for; reconstructing a set of one or more initial images using acquired data; identifying one or more regions of interest in the set of reconstructed initial images; applying at least a set of filters to the identified regions of interest to generate a sequence of filtered images, wherein each of the filtered images in the sequence comprises data acquired near a different reference point; and estimating a motion path for each region of interest based on one or more correspondences in the sequence of filtered images; wherein each filter in the set of filters comprises a filter constrained to lie in a conjugate pair of opposing sections in Fourier space and in a band of Fourier space centered at the origin. - View Dependent Claims (19, 20, 21)
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22. A computed tomography (CT) system, comprising:
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at least one radiation source, for generating a conical beam for imaging an object, wherein the at least one radiation source and the object move relative to each other around a determined axis; a detector assembly coupled to the at least one radiation source; and a computing device coupled to detector assembly for estimating motion of the object, wherein the computing device includes one or more image processors for; reconstructing a set of one or more initial images using acquired data; identifying one or more regions of interest in the set of reconstructed initial images; applying at least a set of directional Fourier filters to the identified regions of interest to generate a sequence of filtered images constrained in Fourier space, wherein each of the filtered images in the sequence comprises data acquired near a different reference point; and estimating a motion path for each region of interest based on one or more correspondences in the sequence of filtered images. - View Dependent Claims (23, 24)
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25. A method for estimating motion of an object of interest, comprising:
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reconstructing a set of one or more initial images using acquired data; identifying one or more regions of interest in the set of reconstructed initial images; applying at least a set of filters to the identified regions of interest to generate a sequence of filtered images, wherein each of the filtered images in the sequence comprises data acquired near a different reference point; and estimating a motion path for each region of interest based on one or more correspondences in the sequence of filtered images; wherein reconstructing the set of one or more initial images comprises reconstructing two or more initial images; and wherein estimating the motion path of a portion of the object of interest comprises; selecting one or more pairs of frames from the sequence of filtered images, wherein the two frames of each selected pair are generated by applying substantially the same filter to two different initial reconstructions; identifying the relative displacement of a portion of the object of interest between the two frames in each selected pair of frames; and determining the motion path based on the identified relative displacements.
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Specification