Restoration of lung boundary defects in CT images based on 3D surface reconstruction

doi:10.3969/j.issn.1000-1565.2021.01.013

Abstract

Abstract: To solve the problem of restoring the lung boundary defects caused by the lung boundary adhesion tumor in CT image segmentation of the lung parenchyma, a method based on three-dimensional surface reconstruction is proposed. For defects with large curvature of the lung parenchymal boundary, the two-dimensional image cannot obtain enough features to restore the lung parenchymal boundary. In this paper, firstly, the centroid-gray algorithm is used to improve the three-dimensional region growth algorithm, and the lung parenchyma is extracted for three-dimensional reconstruction. Then the threshold method is used to extract the three-dimensional point cloud distributed around the defects, a complete outline of the lung parenchyma can be obtained by the surfase reconstruction of the three-dimensional point cloud. The experimental results show that compared with the traditional convex hull algorithm and the rolling ball method, this method is more complete and effective to restore the defects of lung parenchymal boundary with adhesion tumors.

Key words: restoration of lung boundary defects, region growing, three-dimensional surface reconstruction

CLC Number:

O657.8

ZHANG Xin, XU Yongxiao, WANG Bing. Restoration of lung boundary defects in CT images based on 3D surface reconstruction[J]. Journal of Hebei University(Natural Science Edition), 2021, 41(1): 87-92.

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