System and method for local pulmonary structure classification for computer-aided nodule detection
First Claim
1. A method for classifying pulmonary structures in digitized images, comprising the steps of:
- providing approximate target structure locations of one or more target structures in a digitized 3-dimensional (3D) image;
fitting an anisotropic Gaussian model about said approximate target locations to generate more precise 3D target models and center locations of said one or more target structures;
warping each said 3D target models into a 3D sphere;
constructing a bounding manifold about each said warped 3D sphere; and
identifying clusters on said bounding manifolds wherein said one or more target structures are classified.
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Abstract
A method for classifying pulmonary structures in digitized images includes providing approximate target structure locations of one or more target structures in a digitized 3-dimensional (3D) image, fitting an anisotropic Gaussian model about said approximate target locations to generate more precise 3D target models and center locations of said one or more target structures, warping each said 3D target model into a 3D sphere, constructing a bounding manifold about each said warped 3D sphere, and identifying clusters on said bounding manifold wherein said one or more target structures are classified.
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Citations
24 Claims
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1. A method for classifying pulmonary structures in digitized images, comprising the steps of:
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providing approximate target structure locations of one or more target structures in a digitized 3-dimensional (3D) image;
fitting an anisotropic Gaussian model about said approximate target locations to generate more precise 3D target models and center locations of said one or more target structures;
warping each said 3D target models into a 3D sphere;
constructing a bounding manifold about each said warped 3D sphere; and
identifying clusters on said bounding manifolds wherein said one or more target structures are classified. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method for classifying pulmonary structures in digitized images, comprising the steps of:
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providing target locations of one or more 3D spheres in a digitized 3-dimensional (3D) image, said image comprising a a plurality of intensities corresponding to a domain of points on a 3-dimensional grid, each 3D sphere representing a target structure in said image;
constructing a plurality of spherical manifolds of different radii about said 3D sphere;
calculating an intensity entropy for each said spherical manifold wherein intensity values are treated as probability values wherein an entropy distribution is defined;
finding a radius that minimizes said entropy distribution, wherein said minimizing radius defines a bounding manifold;
unwrapping the surface of bounding manifold into a 2D spherical coordinate (θ
, φ
) representation wherein φ
ε
[−
π
,π
] and θ
ε
[−
π
,π
];
using expectation-maximization to fit a mixture multivariate wrapped Gaussian distribution Nw(Θ
) of a vector variable Θ
=(1, . . . , F)T, wherein mixture component probabilities cp are estimated within the expectation-maximization, wherein i=(θ
i,φ
i) to clusters of target structures protruding through said bounding manifold, and wherein a pulmonary structure is classified by a number of protruding clusters. - View Dependent Claims (12, 13, 14)
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15. A program storage device readable by a computer, tangibly embodying a program of instructions executable by the computer to perform the method steps for classifying pulmonary structures in digitized images, said method comprising the steps of:
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providing approximate target structure locations of one or more target structures in a digitized 3-dimensional (3D) image;
fitting an anisotropic Gaussian model about said approximate target locations to generate more precise 3D target models and center locations of said one or more target structures;
warping each said 3D target model into a 3D sphere;
constructing a bounding manifold about each said warped 3D sphere; and
identifying clusters on said bounding manifold wherein said one or more target structures are classified. - View Dependent Claims (16, 17, 18, 19, 20, 21, 22, 23, 24)
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Specification