Thermal Science 2024 Volume 28, Issue 2 Part A, Pages: 1101-1105
https://doi.org/10.2298/TSCI230614031T
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A survey for CT-based airway digital reconstruction and applications
Tian Shuaiyi (Microscopic Image and Medical Image Analysis Group, College of Medicine and Biological information Engineering, Northeastern University, Shenyang, China + College of Life and Health Sciences, Northeastern University, Shenyang, China)
Du Tianming (Microscopic Image and Medical Image Analysis Group, College of Medicine and Biological information Engineering, Northeastern University, Shenyang, China), 2210507@stu.neu.edu.cn
Li Chen (Microscopic Image and Medical Image Analysis Group, College of Medicine and Biological information Engineering, Northeastern University, Shenyang, China), lichen@bmie.neu.edu.cn
Lung is the most important gas exchange organ of human, and the smooth airway is the basis of lung function. The condition of the trachea is associated with a variety of diseases. In this paper several methods of tracheal simulation based on CT-based data since 2003 are reviewed. Reasonable algorithms and image processing methods are important development directions for airway scanning reconstruction. The development of airway reconstruction needs to be closely integrated with mathematical modelling to improve the accuracy and precision of reconstruction.
Keywords: airway, reconstruction, CT data, simulation, segmentation, deep learning
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