THERMAL SCIENCE

International Scientific Journal

Authors of this Paper

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Shuaiyi Tian

,

Tianming Du

,

Chen Li

A SURVEY FOR CT-BASED AIRWAY DIGITAL RECONSTRUCTION AND APPLICATIONS

ABSTRACT
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
PAPER SUBMITTED: 2023-06-14
PAPER REVISED: 2023-08-12
PAPER ACCEPTED: 2023-12-25
PUBLISHED ONLINE: 2024-02-18
DOI REFERENCE: https://doi.org/10.2298/TSCI230614031T
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2024, VOLUME 28, ISSUE Issue 2, PAGES [1101 - 1105]
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A survey for CT-based airway digital reconstruction and applications

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence