Related Experiment Video
Updated: Jun 26, 2026
Three-Dimensional Reconstruction for the Whole Lung with Early Multiple Pulmonary Nodules
Published on: October 13, 2023
[Self-adapted segmentation of pulmonary nodule based on region growing]
Lei Cao1, Li-jun Lu, Rui-meng Yang
1Biomedical Engineering School, Southern Medical University, Guangzhou 510515, China. caolei@fimmu.com
Objective:
To improve the accuracy and efficiency of pulmonary nodule segmentation of thoracic CT image for computer-aided diagnostic (CAD) system, especially for those nodules adhering to the pleural or blood vessels.
Methods:
We proposed the automatic process of pulmonary nodule segmentation, and using region growing method based on the contrast and gradient, the pulmonary nodule images were acquired. A self-adapted morphologic segmentation algorithm was presented for the unsuccessful nodule segmentation using region growing.
Results And Conclusions:
Experiments on clinical 2D pulmonary images showed that the solitary pulmonary nodules and those adhering to the pleural or blood vessels could all be segmented. This pulmonary nodule segmentation algorithm is feasible for automated segmentation of the thoracic CT images.
