System and method for segmentation of lung
First Claim
1. A segmentation method for determining pleural boundaries of a lung, comprising:
- acquiring image data from an imaging device;
generating a set of two-dimensional (2D) slice images based on the acquired image data;
determining, by a processor, a seed voxel in a trachea connected to the lung in a first slice image from the set of 2D slice images;
applying, by the processor, a region growing process to the first slice image from the set of 2D slice images starting with the seed voxel using a threshold value, wherein a region grown by applying the region growing process corresponds to a lung;
generating, by the processor, a set of binarized 2D slice images based on the region grown from the seed voxel;
filtering out, by the processor, connected components of the lung in each slice image of the set of binarized 2D slice images; and
identifying, by the processor, the pleural boundaries of the lung based on the set of binarized 2D slice images.
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Abstract
Disclosed are systems, devices, and methods for determining pleura boundaries of a lung, an exemplary method comprising acquiring image data from an imaging device, generating a set of two-dimensional (2D) slice images based on the acquired image data, determining, by a processor, a seed voxel in a first slice image from the set of 2D slice images, applying, by the processor, a region growing process to the first slice image from the set of 2D slice images starting with the seed voxel using a threshold value, generating, by the processor, a set of binarized 2D slice images based on the region grown from the seed voxel, filtering out, by the processor, connected components of the lung in each slice image of the set of binarized 2D slice images, and identifying, by the processor, the pleural boundaries of the lung based on the set of binarized 2D slice images.
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Citations
15 Claims
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1. A segmentation method for determining pleural boundaries of a lung, comprising:
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acquiring image data from an imaging device; generating a set of two-dimensional (2D) slice images based on the acquired image data; determining, by a processor, a seed voxel in a trachea connected to the lung in a first slice image from the set of 2D slice images; applying, by the processor, a region growing process to the first slice image from the set of 2D slice images starting with the seed voxel using a threshold value, wherein a region grown by applying the region growing process corresponds to a lung; generating, by the processor, a set of binarized 2D slice images based on the region grown from the seed voxel; filtering out, by the processor, connected components of the lung in each slice image of the set of binarized 2D slice images; and identifying, by the processor, the pleural boundaries of the lung based on the set of binarized 2D slice images. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. A system for determining pleural boundaries of a lung, the system comprising:
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an imaging device configured to image a chest of a patient to obtain image data; and an image processing device including; a memory configured to store data and processor-executable instructions; and a processor configured to execute the processor-executable instructions to; generate a set of two-dimensional (2D) slice images based on the acquired image data; determine a seed voxel in a trachea connected to the lung in a first slice image from the set of 2D slice images; apply a region growing process to the first slice image from the set of 2D slice images starting with the seed voxel using a threshold value, wherein a region grown by applying the region growing process corresponds to a lung; generate a set of binarized 2D slice images based on the region grown from the seed voxel; filter out connected components of the lung in each slice image of the set of binarized 2D slice images; and identify the pleural boundaries of the lung based on the set of binarized 2D slice images.
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Specification