Supervised recursive segmentation of volumetric CT images for 3D reconstruction of lung and vessel tree
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文摘

This manuscript proposes a novel recursive strategy based on geometric active contour model to extract lung tissues from the volumetric CT slices accurately.

The proposed method could settle the challenging task of separating left and right lungs.

Non-sheltered 3D models of lung and vessels tree are constructed based on the extracted datasets.

The proposed method is validated by fifteen scans with good performance.

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