4.4 Article

A novel computer modeling and simulation technique for bronchi motion tracking in human lungs under respiration

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SPRINGER
DOI: 10.1007/s13246-023-01336-2

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Computer modeling and simulation; In silico medicine; Lung bronchi (or tumors) motion tracking; Patient-specific finite element thorax model; Ogden's hyperelastic model

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In this study, a novel computer modeling and simulation technique was proposed for tracking lung bronchi (or tumors) during respiration. Patient-specific finite element models were created using CT scans and Ogden's hyperelastic model was used to describe the material behavior of the lung. The simulation results were compared to clinical data to validate the technique. The study provides a step-by-step framework for modeling the respiratory system and tracking bronchi motion, and considers various organs and their impact on lung motion during respiration.
In this work, we proposed a novel computer modeling and simulation technique for motion tracking of lung bronchi (or tumors) under respiration using 9 cases of computed tomography (CT)-based patient-specific finite element (FE) models and Ogden's hyperelastic model. In the fabrication of patient-specific FE models for the respiratory system, various organs such as the mediastinum, diaphragm, and thorax that could affect the lung motions during breathing were considered. To describe the nonlinear material behavior of lung parenchyma, the comparative simulation for biaxial tension-compression of lung parenchyma was carried out using several hyperelastic models in ABAQUS, and then, Ogden's model was adopted as an optimal model. Based on the aforementioned FE models and Ogden's material model, the 9 cases of respiration simulation were carried out from exhalation to inhalation, and the motion of lung bronchi (or tumors) was tracked. In addition, the changes in lung volume, lung cross-sectional area on the axial plane during breathing were calculated. Finally, the simulation results were quantitatively compared to the inhalation/exhalation CT images of 9 subjects to validate the proposed technique. Through the simulation, it was confirmed that the average relative errors of simulation to clinical data regarding to the displacement of 258 landmarks in the lung bronchi branches of total subjects were 1.10%similar to 2.67%. In addition, the average relative errors of those with respect to the lung cross-sectional area changes and the volume changes in the superior-inferior direction were 0.20%similar to 5.00% and 1.29 similar to 9.23%, respectively. Hence, it was considered that the simulation results were coincided well with the clinical data. The novelty of the present study is as follows: (1) The framework from fabrication of the human respiratory system to validation of the bronchi motion tracking is provided step by step. (2) The comparative simulation study for nonlinear material behavior of lung parenchyma was carried out to describe the realistic lung motion. (3) Various organs surrounding the lung parenchyma and restricting its motion were considered in respiration simulation. (4) The simulation results such as landmark displacement, lung cross-sectional area/volume changes were quantitatively compared to the clinical data of 9 subjects.

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